location_0_addressRegionName

location_0_addressCountryName

OFFSITE

UNKNOWN

ADAPTED_NOW

Data Scientist

ACTIVE

<h2>Overview</h2><p><strong>We’re a Little Different</strong></p><p> </p><p>Our mission is clear. We bring to life a healing ministry through our compassionate care and exceptional service. At Mercy, we believe in <em>careers</em> that match the unique gifts of unique individuals – <em>careers</em> that not only make the most of your skills and talents, but also your heart. Join us and discover why Modern Healthcare Magazine named us in its “Top 100 Places to Work.”</p><p><strong>Overview: Senior Data Scientist</strong></p><p> </p><p><strong>Posiiton can be Remote work from home</strong></p><p> </p><p>Mercy is seeking a Senior Data Scientist to work within a team of other advanced professional data scientists, engineers, and application developers in the generation, extraction, and compilation of data to perform creative, high-quality, state-of-the-art analyses and evaluations that produce insights, support decision-making, and drive impact within a leading and transforming healthcare organization. This position will support Mercy’s efforts to deliver on the vision of personalized, predictive, and proactive care. The candidate should demonstrate expertise with data extraction, management, analysis with data analytics tools, be able deliver outputs on a timeline, and lead others in the completion of related work. The candidate should be able to effectively document, develop, and communicate project plans and analytic findings with a variety of technical/non-technical stakeholders.  This candidate will report directly to the Executive Director of Enterprise Data Science.</p><p><strong>Qualifications:</strong></p><ul><li><strong>Experience:</strong> At least 4 years of experience in a similar role in academia or industry or PhD + 2 years in a similar role in academia or industry</li><li><strong>Required Education:</strong> Graduate degree in Public Health, Health Care Research, Epidemiology, Statistics, Data Science, Health Policy, Economic, Finance, Simulation/Simulation-Based Optimization, or related field preferred.</li><li><strong>Other:</strong> </li><li>Have a strong knowledge of electronic medical record data, clinical data, claims data, or financial data.</li><li>Experience with SQL</li><li>Intermediate/Advanced development skills with at least one scripting language (Python, R, etc.) </li><li>Ability to quickly learn new analytic tools and packages</li><li>Ability to develop and apply computational algorithms and statistical methods to healthcare data (including, but not limited to data from electronic medical record, financial management, human resource, quality and supply chain)</li><li>Ability to develop and deploy healthcare-relevant predictive and prescriptive models.</li><li>Experience with Cloud-based data and AI solutions, especially in implementation and operationalization of Machine Learning based solutions.</li><li>Hands-on experience with a broad range of deep learning tools (e.g., TensorFlow, Spark, Theano, PyTorch, Scikit-learn, Keras, Caffe, Nvidia Digits) and collaboration environments (e.g. Jupyter notebooks, PyCharm, gitlab, github)</li><li>Excellent problem-solving skills</li><li>Strong organizational skills, an orientation toward detail, and collaboration oriented.</li><li>Present complex data (qualitative and quantitative) in a clear, concise, and compelling manner to both technical and non-technical audiences to inspire action.</li></ul><p> </p><p><strong>We Offer Great Benefits:</strong></p><p>Day-one comprehensive health, vision and dental coverage, PTO, tuition reimbursement and employer-matched retirement funds are just a few of the great benefits offered to eligible co-workers, including those working 48 hours or more per pay period!</p><p> </p><p> </p><p><strong>We’re bringing to life a healing ministry through compassionate care.</strong></p><p>At Mercy, our supportive community will be behind you every step of your day, especially the tough ones. You will have opportunities to pioneer new models of care and transform the health care experience through advanced technology and innovative procedures. We’re expanding to help our communities grow. Join us and be a part of it all.</p><p><strong>What Makes You a Good Match for Mercy? </strong></p><p>Compassion and professionalism go hand-in-hand with us. Having a positive outlook and a strong sense of advocacy is in perfect step with our mission and vision. We’re also collaborative and unafraid to do a little extra to deliver excellent care – that’s just part of our commitment. If that sounds like a good fit for you, we encourage you to apply.</p><p> </p><p/>

Mercy

Senior Data Scientist

The Data Scientist with customer solutions analytics and insights will oversee and participate in the creation of advanced analytics and machine learning models that will benefit the needs of the organization. Reporting to the Executive Director of Data Services, this position is a key member of the CRM implementation project team and provides critical input for the overall design of CRM applications and mapping client business requirements to systems/technical requirements. Additionally, the incumbent will lead the team from raw data to actionable insights by finding ways to embed learnings into the decision ecosystems of our stakeholders. Remote work options available.<table><tbody><tr><th>Classification Title:</th><td><p><strong> </strong>Data Management Analyst III</p></td></tr><tr><th>Job Description:</th><td><p>The <strong>Data Scientist</strong> with customer solutions analytics and insights will oversee and participate in the creation of advanced analytics and machine learning models that will benefit the needs of the organization. Reporting to the Executive Director of Data Services, this position is a key member of the CRM implementation project team and provides critical input for the overall design of CRM applications and mapping client business requirements to systems/technical requirements. Additionally, the incumbent will lead the team from raw data to actionable insights by finding ways to embed learnings into the decision ecosystems of our stakeholders. Remote work options available.</p><p>Role and Responsibilities:</p><p><strong>Data Analysis </strong></p><ul><li>Leverage AI and statistical techniques to build models that drive business decisions.</li><li>Develop statistical and machine learning models using modern algorithms and techniques such as regression, classification, and unsupervised learning.</li><li>Perform statistical model assumptions' tests for soundness of model theory.</li><li>Develop forecasting models for various aspects of fundraising and identify the causes of variance in monthly forecasts.</li><li>Drive changes to the forecast that will enhance the forecast accuracy according to either trends in both internal and external data or improved algorithms.</li><li>Conduct complex quantitative analysis as it applies to areas of fundraising, including portfolio optimization, lead identification, and next-step recommendations.</li><li>Create machine learning algorithms for improving data quality in the CRM.</li><li>Partner closely with internal and external business stakeholders to identify and unlock opportunities and to improve platform capabilities around data modeling, testing, and data visualization.</li><li>Collaborate with CRM team to leveraging statistical and machine learning to measure and project a user's engagement with the CRM platform across many KPI's.</li><li>Research and develop analyses and forecasting and optimization methods related to end user behavioral modeling and live experiments.</li></ul><p><strong>Data Collection & Preparation</strong></p><ul><li>Gather and prepare both structured and unstructured data for use in feasibility studies, predictive models, and general reports.</li><li>Create data pipelines for curating sets of features and variables for analysis.</li><li>Develop mastery of constituent segmentation strategies, fundraiser performance statistics, and prospect data retrieval and analysis in order to collect meaningful descriptive and behavioral data and transform it to appropriate and usable datasets for a variety of purposes.</li><li>As a subject matter expert on internal/external data sources, ensure anomalies/bugs are escalated and if needed workarounds develop, ensure the data is as clean as possible, as these KPI's will become the source of truth for various groups.</li><li>Define and manage data-related resource needs, auditing best practices among peer institutions and working with other staff to realize information management and reporting objectives.</li><li>Identify opportunities to leverage data and create actionable insights through advanced analytics and statistics.</li><li>Conduct exploratory data analysis to understand patterns in the data and prepare it for further analysis.</li></ul><p><strong>Design, Testing, & Implementation </strong></p><ul><li>Participate in business decisions using machine learning, from initial data exploration and proof of concept, to deploying repeatable solutions to guide daily business decisions.</li><li>Collaborate with the appropriate stakeholders to define requirements for AI platforms, including those available within the ascend CRM.</li><li>Facilitate the development of objectives by selecting and employing the appropriate SDLC methodologies, and gathering business requirements relevant to Machine Learning.</li><li>Employ best practices to test and evaluate algorithms within an ethical framework before implementation.</li><li>Execute best practices in version control and continuous integration / continuous delivery of deployed solutions.</li><li>Operationalize and monitor ML models using high end tools and technologies.</li><li>Automate findings for stakeholders to consume the results of statistical and machine learning models in ascend and Tableau CRM visualizations.</li><li>Unify Machine Learning (ML) systems development and ML systems deployment to standardize and streamline the continuous delivery of high-performing models in production.<p> </p></li></ul><p><strong>Data Visualization & Communication</strong></p><ul><li>Prototype and demonstrate solutions for clients in customer environments.</li><li>Explain model behavior/results to both Technical and Non-Technical Audiences.</li><li>Build relationships and communicate with senior leadership and strategic partners to report analytical findings and projections on forecasting.</li><li>Provide forecast guidance/mitigation options to leaders to support achieving annual cost reduction and fundraising goals.</li><li>Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.</li><li>Design and update data visualization software projects in Cognos, ascend, and/or Tableau CRM to include data needed for end users.</li><li>Understand advancement information systems including software and business best practice resources in order to develop and present informed analytical and statistical reports.</li><li>Develop reports through products like Salesforce ascend, Cognos, Tableau, and PL/SQL Developer.<p> </p></li></ul><p><strong>Data Governance & Collaboration</strong></p><ul><li>Assist in the development and execution of an AI/Data governance framework, with a focus on ensuring that AI technologies are well researched and developed.</li><li>Help administer and work within an AI code of Ethics to tackle issues such as Privacy, Discrimination, Data Ethics, and promote Responsible Innovation.</li><li>Serve as Subject Matter Expert on the Reporting & Analytics Implementation Team.</li><li>Collaborate with Data Services staff and other key stakeholders in a fast-paced cross-functional and diverse environment.</li><li>Stay current on new products and relevant industry trends in the field of ML</li><li>Brainstorm analytics ideas with business teams and other data staff that enable daily business decisions.</li></ul></td></tr><tr><th>Expected Salary:</th><td><p>Salary commensurate with education and experience.</p></td></tr><tr><th>Minimum Requirements:</th><td><p>Master’s degree in an appropriate area and two years of relevant experience; or a bachelor’s degree in an appropriate area and four years of relevant experience.</p></td></tr><tr><th>Preferred Qualifications:</th><td><p>The ideal candidate will possess:</p><ul><li>3+ years of professional experience with at least one analytics programming language such as Python or R.</li><li>Ability to write clean and functional code and work with data frames like pandas or NumPy in Python or data table in R.</li><li>1+ years of experience with Salesforce, Tableau, and/or other analytics and visualization tools.</li><li>Working experience applying data analysis, ML or statistical models to solve real world business problems and can communicate the impact of the work to various stakeholders.</li><li>Demonstrated success in program development and execution.</li><li>Strong project management and time management skills; ability to handle multiple projects with critical deadlines and changing priorities simultaneously and accurately.</li><li>Exceptional analytical skills to synthesize a high volume of information from a variety of sources and perform complex analysis to produce reports that are usable and actionable to a variety of fundraising professionals.</li><li>Proficiency with Advance (or comparable alumni/donor database) and thorough understanding of the reports produced by and for fundraising purposes.</li><li>Database reporting experience in an Oracle SQL environment using PL/SQL Developer or a similar tool.</li><li>Experience developing reports in business intelligence tools, such as Cognos or Tableau.</li><li>Two years’ experience in prospect development or fundraising in a higher education setting and clear understanding of the cultivation cycle.</li><li>Must be an outstanding communicator and possess excellent written and verbal communication skills; interpersonal skills; and the ability to work collegially and interact effectively with a diverse constituency.</li><li>An appreciation for and support of diversity in the workplace in all its forms; proven success working with stakeholders; project management skills; experience in a data-driven environment; organizational skills; and the ability to lead, influence and motivate others are required.</li><li>Collaborative, collegial and customer service focused orientation, eager and able to engage a diverse stakeholder base, and able to build strong professional relationships.</li><li>Strong consultative approach with ability to advise and influence internal clients through formal and informal presentations.</li><li>Effective in problem-solving across organizational lines.</li><li>Understand institutional mission and strategic initiatives.</li><li>Proficiency with Microsoft Office: Word, Power Point, Excel, Access.</li></ul></td></tr><tr><th>Special Instructions to Applicants:</th><td><p>In order to be considered, you must upload your cover letter, resume, and three references.</p><p>Application must be submitted by 11:55 p.m. (ET) of the posting end date.</p></td></tr><tr><th>Health Assessment Required:</th><td>No</td></tr></tbody></table><p> </p>

University of Florida

INTEGRATED

<p>We've been retained by our client in the professional sports industry to find them a Data Scientist in the New York area. Our client in the athletic arena is looking for someone who will be passionate about owning Research, Data & Analytics on both the business and the competitive sports events side of the company. The Data Scientist will report directly to the Vice President, supporting all aspects of the company's data/analytics/research, and shall be responsible for:</p><ul><li>Maintaining and enhancing performance calculations and methodology to provide next-level insights</li><li>Automating fighter data visualizations and analyzing performance data to support content creation, storytelling, roster evaluation, and recruiting</li><li>Supporting the team with maintaining the master data & analytics database with all internal and competitor KPI's</li><li>Maintaining automated digital/social audience dashboard to track, measure, and analyze key trends on a monthly basis</li><li>Analyzing TV audience data trends for events and competitive positioning</li><li>Managing data partner relationships and developing efficient processes to accelerate workstreams, facilitate new innovative projects and optimize joint capabilities</li><li>Supporting data delivery to all relevant business partners across media and gaming</li><li>Collect and analyze market research and data to gain valuable industry insights</li><li>Leveraging fan data to identify and refine target audiences for marketing campaigns</li><li>Delivering other data & analytics requests the Company may reasonably request relating to the foregoing</li></ul><p>Requirements:</p><ul><li>Interest in mixed martial arts and data analytics</li><li>At least 2 years experience in research, data, and analytics</li><li>Team player where no task is too big or too small</li></ul>

Raymond Search Group

Crelate 

<h2>About the Data Scientist position</h2><p>Cyndx is an Artificial Intelligence (AI) and Natural Language Processing (NLP) platform that offers “search and discovery” solutions for entrepreneurs, start-ups, investors, and acquirers. Our subscription-based solution helps enhance capital raising, acquisitions, and other business opportunities. <br/></p><p>We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions. Unlike many organizations, your role won't revolve around creating models for marketing and sales but will rather will be helping to build an AI search product used by some of the largest investors in the world. If you've ever wanted to be satisfied and proud of what you're building, then Cyndx is the place to be.</p><p>With that, we expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required. </p><h2>Responsibilities</h2><ul><li>Research and detect valuable data sources and automate collection processes</li><li>Perform preprocessing of structured and unstructured data</li><li>Create predictive models and machine-learning algorithms</li><li>Modify and combine different models through ensemble modeling</li><li>Organize and present information using data visualization techniques</li><li>Develop and suggest solutions and strategies to business challenges</li><li>Work together with engineering and product development teams</li></ul><h2>Requirements</h2><ul><li>2+ years' experience of working as a Data Scientist</li><li>Ph.D./M.S. in a quantitative field (Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, etc.) strongly preferred, or a bachelor's degree with significant experience<br/></li><li>3+ years expertise in Python and SQL</li><li>Expertise in using a deep learning framework like Pytorch or Tensorflow to code models from scratch.</li><li>Expertise with ML/NLP libraries like NLTK/Spacy/scikit-learn and the underlying algorithms (including by not limited to regression, classification, clustering, boosting, neural networks, etc.)</li><li>Solid understanding and experience with using NLP based methods for text cleaning and information retrieval and latest advances in NLP including Seq2Seq models and Transformers.</li><li>Significant experience in data mining, machine-learning and operations research<br/></li><li>Strong communication and presentation skills</li></ul><h2>Nice to Have</h2><ul><li>Knowledge of working with financial data<br/></li><li>Experience with Named Entity Recognition (NER) and Question & Answering models</li><li>Knowledge about AI pipeline tools (Kubeflow, Amazon Sagemaker, etc.)</li><li>Strong research mind to be able to read and understand the latest research in AI/NLP and reframe it in a way to help our products</li><li>A creative mindset to not just solve problems, but to come up with ideas that would further enhance our products</li><li>Experience in GCP tooling</li></ul><h2>Benefits</h2><ul><li>Competitive Salary</li><li>Health insurance</li><li>Paid vacation & Holidays</li><li>401k with matching</li><li>A beautiful new office filled with snacks (re-opening planned for October)</li><li>A great team to work with and learn from</li></ul>

Cyndx

BreezyHR

<p>100% Remote in the US - Urgent hire - Immediate interviews and quick placement - FTE / Contract w2 / Contract C2c</p><p/><p>Shakti Solutions has been providing IT services to fortune 500 clients since 1999. We service a wide range of clients in the public and private sectors, which include Healthcare, Healthcare Insurance, Multimedia, Communication, Medicare, Medicaid, Judiciary, Child Support, etc.</p><p/><p>We are actively hiring for the following position:</p><p/><p>Title: Data Scientist</p><p>Start Date: Immediate</p><p>Location: Remote in the US. US work authorization is a must.</p><p>No of Positions: 6</p><p><b>Data Scientist</b></p><p><b>Role</b>: Lead experimental design to test business use cases, analysis of experiment results and development & deployment of advanced data science models propensity, uplift predictive. Resource expected to be able to successfully complete tasks independently.</p><p><b>Required Skills</b>:</p><ul><li>Experimental Design</li><li>Deep understanding of Data Science models</li><li>Experience deploying Propensity & Uplift Models</li><li>Advanced statistical knowledge (Bayesian methods, causal inference)</li><li>Python Development</li><li>PySpark</li><li>ML Framework is a plus</li><li>NLP experience is a plus</li></ul><p>If this sounds like an opportunity you would like to learn more about, I would love to share the details! Please forward me your updated resume with contact details. Please also let me know the best time and number to reach you. Please also feel free to pass along my contact information ( *************) if you know of anyone in your network who may be interested. We offer excellent referral bonuses on successful placements.</p><p/><p>Happy to help and hope to hear back soon!</p><p/>

Shakti Solutions

Ceipal

<div><div><h4>Description</h4><div><p><strong>About Us:</strong></p><p>RadiusAI is a growth-stage startup that develops novel machine learning and computer vision techniques for ambient and actionable intelligence. Our Viztel technology enables real-time 3D scene reconstruction, motion capture and behavior analysis of customers and patients in a privacy-aware fashion. We develop and deploy ML models that combine diverse data to directly impact key performance indicators for our clients. Through strong partnerships with leading retailers and healthcare providers, we are able to apply machine learning, computer vision and robotics at scale. We are passionate about strong research with real-world impact.</p><p><strong>About You:</strong></p><p>You are driven and passionate about data and making a difference. You are looking to join a promising early-stage startup to have a deep impact. You understand code quality and can take initiatives to improve it. You are always curious, and you are humble about what you already know.</p><p><strong>About the Job:</strong></p><p>We are currently looking to hire multiple (senior) data scientists with experience in cutting-edge data science and machine learning. We are particularly excited about candidates with experience (academia or industry) in deep learning, deployment of ML models, computer vision, large-scale machine learning, data filtering and augmentation, etc. We encourage publications at top-tier conferences, such as NeurIPS, CVPR, AAAI, etc.<br/>You will work with state-of-the-art technologies in our data science team. You will be responsible for researching, developing, training, optimizing and deploying machine learning models and analytic systems using ML models and algorithms.<br/></p></div></div><div><h4>Requirements</h4><div><p><strong>Requirements:</strong></p><ul><li>BS, MS or PhD in a STEM field</li></ul><ul><li>Knowledge of basic deep learning techniques</li></ul><ul><li>Knowledge of modern software design and software engineering practices in Python</li><li>Knowledge of of computer science fundamentals including data structures and algorithms</li></ul><ul><li>Experience in data-driven problem-solving and the deployment of machine learning models</li><li>Experience with cloud-computing tools, architectures and approaches</li><li>Experience in working in a team and communicating to other data scientists and engineers</li></ul><p><strong>Pluses:</strong></p><ul><li>Experience in PyTorch and Tensorflow</li><li>Experience in deploying ML-models at scale</li></ul><ul><li>Experience in data filtering and augmentation</li></ul><ul><li>Experience in data analysis tools and frameworks (pandas, numpy, matplotlib, etc.)</li></ul><ul><li>Experience in data visualization, data introspection and dashboard design</li></ul><ul><li>Experience with AWS technologies like S3, EC2, and Kinesis</li><li>Experience in distributed computing</li></ul><ul><li>Experience in causal inference</li></ul></div></div><div><h4>Benefits</h4><div><ul><li>Competitive salary, performance bonus and stock options based on qualifications</li><li>Full health care coverage (health, vision, dental, life)</li><li>Commuters Benefit</li><li>401K plan</li></ul></div></div><div><div><a href="/radius-ai/j/B61D901542/apply/" rel="nofollow" tabindex="0">Apply for this job</a></div><div></div></div></div>

Radius AI

Data Scientist / Senior Data Scientist

<div id="richTextArea.jobPosting.jobDescription-input"><div><div id="richTextArea.jobPosting.jobDescription-input--uid10-input"><div></div><div dir="ltr"><h4>A career at T. Rowe Price says you want to contribute and make a difference at a leading global investment management firm where success results from the dedication our associates have in building success for our clients. We are a growing organization of associates from diverse backgrounds, experiences, and perspectives.</h4><h4>We take a long-term view on associates and their careers. Our associates do phenomenal work with purpose, and as a result, we provide growth opportunities through in-person and online training, management development programs, and career development on the job.</h4><h4>If you are seeking a meaningful work experience along with a workplace culture that thrives on teamwork, we invite you to explore the opportunity to join us.</h4><p style="text-align:inherit"/><p style="text-align:inherit"/><p dir="ltr" style="text-align:left">Technologists at T. Rowe Price are playing a key role in helping build the future of financial services, working hand-in-hand with our investors to help drive better decisions that provide excellent outcomes for our clients. We’re looking for Data Scientists to join our Technology Development Center in Manhattan. We want technologists with a fresh perspective who are passionate about solving complex business, data and technical challenges</p><p dir="default" style="text-align:inherit"/><p dir="ltr" style="text-align:left">You’ll work with smart, talented people across our business to create groundbreaking, next-generation applications for n-tier cloud architectures. You’ll be involved, hands-on, through the entire development cycle. And you’ll redefine the way our traders, portfolio managers and analysts serve our clients. We will expect you to be agile / to lead / to think outside the box. In return, we’ll give you challenging work that has an impact / Opportunities to learn and grow / and a collaborative culture that encourages every member of our team to bring their point of view to the table—because that’s how we help our clients succeed.</p><p dir="default" style="text-align:inherit"/><p dir="ltr" style="text-align:left"><b>Core Attributes:</b></p><ul><li>Ideal candidate will have strong collaboration skills as well as possess statistical, mathematical, predictive modelling and business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.</li><li>The incumbent will be expected to develop attribution, segment and predictive models to support our investments research process. It is expected this will be accomplished through pilot, test and learn delivery practice to support a wide range of deliverables with our business partners.</li><li>Equally important to possessing strong technical skills, the ideal candidate will be a strong communicator able to communicate their findings, orally and visually. They need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.</li><li>Focused on delivering value to the business with relentless efforts to improve process.</li><li>Exceptional technology skills; recognized by your peers as an expert in your domain.</li><li>A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review or pairing, unit testing, refactoring and related approaches.</li><li>Seeks data from, gains opinions on industry trends, issues and solutions .Formally or informally benchmarks IT’s processes, vendor experiences and priorities against other organizations in the industry. Takes appropriate actions as a result.</li></ul><p dir="default" style="text-align:inherit"/><p dir="ltr" style="text-align:left"><b>Principal Responsibilities:</b></p><p dir="ltr" style="text-align:left">Extracts knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and/or economic forecasting.</p><ul><li>Drives adoption of Data Science techniques within investments domain</li><li>Works across firm to enable data scientists to learn and adopt best practices and new technologies</li><li>Represent the data science community at internal and external forums</li><li>Stays abreast of industry trends, driving leading edge changes and championing firm adoption of new technologies</li><li>Operates as a hands-on technologist, delivers within a team as an individual data scientist</li><li>Is held accountable for realizing broader strategy within the Data Science community at the firm</li><li>Leads the firm’s most ambitious, business critical and/or complex Data Science projects</li><li>Maintains a broad professional network both internally and externally and leverages it skillfully to achieve results</li></ul><p dir="default" style="text-align:inherit"/><p dir="ltr" style="text-align:left"><b>Required Technical Experience:</b></p><ul><li>A thorough understanding of applied statistics including sampling approaches, causal modeling, time series analysis and data mining techniques</li><li>Experience in working with large structured and unstructured data sets</li><li>Fluency in the languages of data manipulation (e.g. SQL) and statistical analysis (e.g. R or Python/NumPy), with ability to code a plus: e.g. Java, Ruby, Clojure, Matlab, Pig or SQL</li><li>Understanding of Hadoop, Hive and/or MapReduce</li><li>Natural Language Processing</li><li>Machine Learning</li><li>Conceptual modelling</li><li>Statistical analysis & Predictive modeling</li><li>Hypothesis testing</li></ul><p dir="default" style="text-align:inherit"/><p dir="ltr" style="text-align:left"><b>Domain Experience and Soft Skills:</b></p><ul><li>Current or prior experience as a Data Scientist in the investments/asset management or financial services domain helpful</li><li>Ability to successfully partner and communicate with all levels of an organization</li><li>Ability to collaborate and communicate effectively both with IT, with business management and a demonstrated ability to influence and impact the business</li><li>Strong interpersonal skills and ability to forge relationships resulting in successful partnerships</li><li>Strong negotiation skills, business acumen and customer focused</li><li>Confident communicator; able to argue a point concisely and deal positively with conflicting views</li><li>Enthusiasm for learning & results oriented</li></ul><p dir="default" style="text-align:inherit"/><p dir="ltr" style="text-align:left"><b>Required Education:</b></p><p dir="ltr" style="text-align:left">Strong academic record and a BA/BS degree with high mathematical and computing content (e.g. Computer Science, Statistics, Mathematics, Engineering or Physics) and 2+ years of professional data science experience.</p><p style="text-align:inherit"/><p style="text-align:inherit"/><p dir="default" style="text-align:inherit"/><p dir="default" style="text-align:inherit"/><p dir="ltr" style="text-align:left"><i>T. Rowe Price is committed to providing our associates with a comprehensive total rewards benefit program, including wellness, retirement and quality-of-life benefits.</i> ​ <i>Please view What We Offer to see what's available to you.</i></p><p dir="default" style="text-align:inherit"/><p dir="default" style="text-align:inherit"/><p dir="default" style="text-align:inherit"/><p dir="default" style="text-align:inherit"/><h4>T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.</h4></div></div></div></div><div id="richTextArea.jobPosting.jobDescription-input--uid10-input"><div></div><div dir="ltr"><h4>A career at T. Rowe Price says you want to contribute and make a difference at a leading global investment management firm where success results from the dedication our associates have in building success for our clients. We are a growing organization of associates from diverse backgrounds, experiences, and perspectives.</h4><h4>We take a long-term view on associates and their careers. Our associates do phenomenal work with purpose, and as a result, we provide growth opportunities through in-person and online training, management development programs, and career development on the job.</h4><h4>If you are seeking a meaningful work experience along with a workplace culture that thrives on teamwork, we invite you to explore the opportunity to join us.</h4><p style="text-align:inherit"/><p style="text-align:inherit"/><p dir="ltr" style="text-align:left">Technologists at T. Rowe Price are playing a key role in helping build the future of financial services, working hand-in-hand with our investors to help drive better decisions that provide excellent outcomes for our clients. We’re looking for Data Scientists to join our Technology Development Center in Manhattan. We want technologists with a fresh perspective who are passionate about solving complex business, data and technical challenges</p><p dir="default" style="text-align:inherit"/><p dir="ltr" style="text-align:left">You’ll work with smart, talented people across our business to create groundbreaking, next-generation applications for n-tier cloud architectures. You’ll be involved, hands-on, through the entire development cycle. And you’ll redefine the way our traders, portfolio managers and analysts serve our clients. We will expect you to be agile / to lead / to think outside the box. In return, we’ll give you challenging work that has an impact / Opportunities to learn and grow / and a collaborative culture that encourages every member of our team to bring their point of view to the table—because that’s how we help our clients succeed.</p><p dir="default" style="text-align:inherit"/><p dir="ltr" style="text-align:left"><b>Core Attributes:</b></p><ul><li>Ideal candidate will have strong collaboration skills as well as possess statistical, mathematical, predictive modelling and business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.</li><li>The incumbent will be expected to develop attribution, segment and predictive models to support our investments research process. It is expected this will be accomplished through pilot, test and learn delivery practice to support a wide range of deliverables with our business partners.</li><li>Equally important to possessing strong technical skills, the ideal candidate will be a strong communicator able to communicate their findings, orally and visually. They need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.</li><li>Focused on delivering value to the business with relentless efforts to improve process.</li><li>Exceptional technology skills; recognized by your peers as an expert in your domain.</li><li>A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review or pairing, unit testing, refactoring and related approaches.</li><li>Seeks data from, gains opinions on industry trends, issues and solutions .Formally or informally benchmarks IT’s processes, vendor experiences and priorities against other organizations in the industry. Takes appropriate actions as a result.</li></ul><p dir="default" style="text-align:inherit"/><p dir="ltr" style="text-align:left"><b>Principal Responsibilities:</b></p><p dir="ltr" style="text-align:left">Extracts knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and/or economic forecasting.</p><ul><li>Drives adoption of Data Science techniques within investments domain</li><li>Works across firm to enable data scientists to learn and adopt best practices and new technologies</li><li>Represent the data science community at internal and external forums</li><li>Stays abreast of industry trends, driving leading edge changes and championing firm adoption of new technologies</li><li>Operates as a hands-on technologist, delivers within a team as an individual data scientist</li><li>Is held accountable for realizing broader strategy within the Data Science community at the firm</li><li>Leads the firm’s most ambitious, business critical and/or complex Data Science projects</li><li>Maintains a broad professional network both internally and externally and leverages it skillfully to achieve results</li></ul><p dir="default" style="text-align:inherit"/><p dir="ltr" style="text-align:left"><b>Required Technical Experience:</b></p><ul><li>A thorough understanding of applied statistics including sampling approaches, causal modeling, time series analysis and data mining techniques</li><li>Experience in working with large structured and unstructured data sets</li><li>Fluency in the languages of data manipulation (e.g. SQL) and statistical analysis (e.g. R or Python/NumPy), with ability to code a plus: e.g. Java, Ruby, Clojure, Matlab, Pig or SQL</li><li>Understanding of Hadoop, Hive and/or MapReduce</li><li>Natural Language Processing</li><li>Machine Learning</li><li>Conceptual modelling</li><li>Statistical analysis & Predictive modeling</li><li>Hypothesis testing</li></ul><p dir="default" style="text-align:inherit"/><p dir="ltr" style="text-align:left"><b>Domain Experience and Soft Skills:</b></p><ul><li>Current or prior experience as a Data Scientist in the investments/asset management or financial services domain helpful</li><li>Ability to successfully partner and communicate with all levels of an organization</li><li>Ability to collaborate and communicate effectively both with IT, with business management and a demonstrated ability to influence and impact the business</li><li>Strong interpersonal skills and ability to forge relationships resulting in successful partnerships</li><li>Strong negotiation skills, business acumen and customer focused</li><li>Confident communicator; able to argue a point concisely and deal positively with conflicting views</li><li>Enthusiasm for learning & results oriented</li></ul><p dir="default" style="text-align:inherit"/><p dir="ltr" style="text-align:left"><b>Required Education:</b></p><p dir="ltr" style="text-align:left">Strong academic record and a BA/BS degree with high mathematical and computing content (e.g. Computer Science, Statistics, Mathematics, Engineering or Physics) and 2+ years of professional data science experience.</p><p style="text-align:inherit"/><p style="text-align:inherit"/><p dir="default" style="text-align:inherit"/><p dir="default" style="text-align:inherit"/><p dir="ltr" style="text-align:left"><i>T. Rowe Price is committed to providing our associates with a comprehensive total rewards benefit program, including wellness, retirement and quality-of-life benefits.</i> ​ <i>Please view What We Offer to see what's available to you.</i></p><p dir="default" style="text-align:inherit"/><p dir="default" style="text-align:inherit"/><p dir="default" style="text-align:inherit"/><p dir="default" style="text-align:inherit"/><h4>T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.</h4></div></div>

T. Rowe Price

Data Scientist (Mid/Senior/Lead Levels)

<p><em>MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.</em><br/><br/><strong>Description</strong><br/><br/></p><ul><li>Develop new AI/ML capabiltiies</li><li>Upgrade and integrate these capabiltiies into the rest of the company </li><li>Work together with the rest of the developer team</li><li>Make well written software that is tested and implemented </li></ul><ul><li>3 + years experience </li><li>Proficient in data science, ML, & AI</li><li>Experience with Python, & git</li><li>Good attitude and passion for software architecture</li><li>Passionate about producing well-tested and designed code in a timely manner </li></ul><p>Our client helps their customers by measuring how their security system responds to attacks. Their goal is to move global business to full preparedness</p><ul><li>competitive salary</li><li>Equity</li><li>Remote flexability</li></ul>

<p> Michael Page is one of the world's leading professional recruitment consultancies, specializing in the placement of candidates in permanent, contract, temporary and interim positions with clients around the world.</p>
<p>The Group has operations in the Americas, UK, Continental Europe, Asia-Pacific and Africa. </p>
<p>In the US, we focus on the areas of:</p>
<ul>
<li>Advisory</li>
<li>Banking and Financial Services</li>
<li>Finance and Accounting</li>
<li>Engineering and Manufacturing</li>
<li>Healthcare & Life Sciences</li>
<li>Human Resources</li> 
<li>Information Technology</li>
<li>Legal</li>
<li>Marketing</li>
<li>Page Personnel Office Support</li>
<li>Oil and Gas</li> 
<li>Procurement and Supply Chain</li>
<li>Real Estate and Construction</li>
<li>Sales</li>
</ul>

Michael Page

Data Scientist - Remote - Python - $165k

Michael Page Organic

Software Engineer

<p><strong>What does a typical day look like for the Data Scientist?</strong></p><ul><li>Develop, maintain, and enhance complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements. </li><li>Work with developers to craft high-level design/architecture drawings to communicate with end-user customers as well as experience in mapping requirements to test cases.</li><li>Develop flow charts, functional diagrams, and defining use cases.</li><li>Work with customers to derive requirements and translating them to actionable tasks for the development team.</li><li>Agile development framework and tools like JIRA for management of tasks.</li><li>Perform systems engineering verification and validation for a development team. </li><li>Review and tests software components for adherence to the design requirements and documents test results. </li></ul><p><strong>What qualifications do you look for?</strong></p><ul><li> Current TS/SCI with FS Poly.</li><li> Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. </li><li> 7+ years of related work experience.</li><li> Required Skills:<ul><li>Java</li><li>Python</li><li>SQL</li><li>Linux</li><li>Machine Learning, Data Science concepts, Statistics, Data Visualization, Data Exploration, Report Generation</li><li>Git</li><li>Maven</li></ul></li></ul><p><strong>We're extra impressed by:</strong></p><ul><li> Scala</li><li> Familiarity with Elasticsearch</li><li> Lucene Query Language</li><li> SQLite</li></ul><p>                     </p>

Data Scientist Jobs