2,731 Results for

Data Scientist Jobs in Sunnyside, NY

Jobs

New!

New York, NY5 days ago

$82,000–$136,000 Per Year
Full-time

Since 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.

Jersey City,, New Jersey30+ days ago

$65–$70 Per Hour
Contractor

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. You will develop, test, and maintain essential data pipelines and architectures across diverse technical areas, supporting various business functions to achieve organizational objectives.

New!

Jersey City, NJ2 days ago

$82,000–$127,000 Per Year
Full-time

Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.

New York City, NY22 days ago

Remote

$79,000–$145,000 Per Year
Full-time
Employee

Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers—companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Citi, JPMC, Walmart Labs, Deloitte, and more—often with offers between $90,000 and $154,000 depending on role and expertise. SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer.

New!

New York, NY6 days ago

$79,000–$145,000 Per Year
Full-time

A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.

New!

Jersey City, NJ5 days ago

Remote

$82,000–$128,000 Per Year
Full-time

New!

New York, NY2 days ago

$82,000–$136,000 Per Year
Full-time

New!

Jersey City, NJ2 days ago

$50–$60

Strong Python software engineering experience building and maintaining production-grade libraries, services, and platforms; Linux, scripting, and automation required (Java/Groovy a plus). Experience building and operating cloud-native systems on AWS, including core services and managed ML platforms (e.g., SageMaker); Azure or GCP exposure beneficial.

NY30+ days ago

$190,000–$210,000 Per Year

Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures. You will leverage your expertise in analytics, experimentation, and AI/ML to address complex challenges including conversion funnel optimization, search ranking, and client-provider matching.

New York, NY11 days ago

$165,000–$246,200 Per Year

Some examples include:A revolutionary approach leveraging advanced statistical methods to identify the best interest-rate or product price to provide to clientsA Generative AI powered "chatbot-like" search platform that enables sales and product teams to quickly find high quality answers to product, servicing, and client related questionsA comprehensive AI model that helps to move foreign currency conversion "up the payment stream" and away from the beneficiary banksApplying advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, providing servicing teams with constant information on how they can better serve clientsWho we're looking for:If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve Share: Save job Job saved.

NY30+ days ago

$162,000–$258,750 Per Year

This is a high-impact leadership role for a seasoned data scientist who combines deep technical expertise, strong business intuition, and a passion for improving mental health outcomes. About the Principal Data Scientist at Headspace: We are looking for an innovative, strategic and impact- driven Principal Data Scientist to lead the evolution of data science across our care delivery and marketplace ecosystem.

NY30+ days ago

$139,900–$274,800 Per Year

OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).

NY9 days ago

$153,800–$246,100 Per Year

About the role : Own end-to-end scalable machine learning models for risk assessment, forecasting, anomaly detection, customer clustering, natural language processing and other key finance initiatives. Analyze complex datasets of structured & unstructured data using advanced analytics to generate actionable insights; communicate findings through impactful reports and presentations.

Stamford, CT30+ days ago

Join our fast-growing Global Product Management Data Science team and help transform Gartner's Client Experience Digital Platform-the essential destination for IT and business leaders worldwide. In this role, you will lead complex data science projects in partnership with cross-functional teams, driving the development of advanced AI-powered chatbot systems that deliver intelligent, personalized experiences at scale.

Brooklyn, NY26 days ago

$153,000–$180,000 Per Year

The work you execute will drive real-world impacts for millions of customers, including their safety, the reliability and affordability of their heat and power, and the environmental impacts of the services that National Grid provides them. As we lead the charge towards a carbon-free future, our digital teams are introducing best practices from across the tech industry to drive efficiency and bring new capabilities to our internal and external customers.

NY30+ days ago

$119,800–$234,700 Per Year

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

New York, NY30+ days ago

$118,980–$195,465 Per Year

Experience in Insurance Underwriting3+ years of hands-on experience in AI/ML modeling and development, with a primary focus on agentic AI, LLMs, and NLP.Background in insurance and underwriting preferredDeep expertise in LLMs, generative AI, agentic systems, NLP, and multi-step reasoning architectures (e.g., LangGraph, RAG, agent frameworks).Strong programming skills in Python and familiarity with frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, and LangChain. Proven experience in providing technical leadership and mentoring to data scientists and strong project management skills with ability to monitor/track performance for enterprise success Working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging, CI/CD).Excellent analytical, problem-solving, and communication skills.

New York, NY30+ days ago

$190,000–$220,000 Per Year

Carlyle's purpose is to connect people, ideas, and capital to fuel growth for companies and performance for investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,500 professionals operating in 27 offices in North America, Europe, the Middle East, Asia and Australia.

East Hanover, NJ30+ days ago

Knowledge with the following but not limited to: • Database systems such as MySQL, MongoDB, Big Query and Neo4j • Source code management system like GitHub, Mercurial, and SVN for collaborative development • Analytic notebooks such as Jupiter and Zeppelin • expertise in creating interactive data visualizations with open-source web technologies such as Angular, Vue, React, or D3.js, as well as frameworks such as Shiny and Plotly Dash • Ability to develop data-intensive, containerized full-stack web applications using technologies such as Node.js, Metrics • Roadmap design and execution • Earn seat at the table for product stream leader forums • Competency and curriculum in place • Community expansion and embedment in functions and regions • Career path in place and progress in Engagement Score • On time delivery, TCO and quality Key Interactions / Stakeholders • MDS Platform teams (Emerging Tech, CTO etc) • MDS Domain/Function Lead and D&A Product Stream Lead as the ultimate workplan stakeholder • D&A horizontals team that makes up the data product squad (e.g.

New York, NY30+ days ago

$195,500–$218,500 Per Year

D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ years of relevant experience and a demonstrated track record of leading cross-team technical strategy and delivering organization-level impact. At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising.

NY30+ days ago

$143,900–$180,000 Per Year

What You'll Do: • Generate insights through deep-dive analysis to inform strategy and prioritization • Define metrics and create dashboards to measure product performance • Design, execute, and analyze A/B testing experiments to validate product hypotheses • Collaborate with product, engineering, and marketing stakeholders to define the product roadmap • Identify opportunities and initiate new data science projects that drive company OKRs • Communicate technical insights effectively to influence decision-making. Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures.

New York, NY30+ days ago

VS&Co, building the best-in-class suite of Data Science & Analytics Products that power the best shopping experience for our customers, and deliver actionable, customer-centric insights to our ecommerce, marketing, merchandising and supply chain teams enabling better business decisions on omni channel (digital + store 360 performances. Perform deep exploratory analysis on large scale customer data, identify shopping & interaction patterns, discover price elasticity & price sensitivity behaviors and build lifecycle models for targeting customers towards loyalty.

30+ days ago

$157,500–$192,500 Per Year

n \n\n Experience in statistical modeling using healthcare data \n \n\n Experience developing training material and delivering training to user groups of 10 or more \n \n\n Knowledge of privacy laws and regulations around health data (HIPAA) \n \n\n Demonstrated proficiency using AI assistants across planning, design, implementation, and documentation (e.g., IDE/code assistants such as GitHub Copilot or Claude Code; chat-based assistants such as Microsoft Copilot; notebook/workbench assistants), with human review, traceability, and validation of AI-generated outputs. \n \n\n \nQualifications: \n \nBasic Requirements: \n\n Master's degree in Mathematics, Computer Science, Statistics, or other related field; or equivalent experience \n \n\n 5+ years of experience in data science, data management and/or applying data analysis and reporting skills in a business context \n \n\n 5 years of experience with large healthcare transactional datasets/reporting \n \n\n 5 years of experience in healthcare transaction data, including QA, testing and reporting \n \n\n Expertise in programming languages to facilitate analysis (e.g.

New York, NY14 days ago

$143,650–$160,550 Per Year

At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising. Apply expertise across several core areas of machine learning and statistics (e.g., gradient-boosted models, deep neural networks, time series, causal inference concepts, experimentation design), selecting appropriate methods for complex data science problems.

NY30+ days ago

$70–$79 Per Hour

Key Responsibilities: Collaborate with the Product Owner to manage the end-to-end AI development lifecycle, including requirements gathering, data sourcing, model development, proof-of-concept demonstrations, risk governance reviews, and production deployment across both on-premises and AWS environments. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.

Madison, NJ30+ days ago

$151,280–$183,319 Per Year

The role sits at the edge of applied data science and AI engineering: you will design evaluation datasets, build analytical features, prototype models, test agent and retrieval performance, measure product impact, support sandboxed data problem solving, and explain model behavior in ways stakeholders can trust. BMS is an AWS-first engineering environment for these products, and your work will use AWS-aligned data and AI services alongside enterprise-preferred tools such as OpenSearch, Amazon S3 Vectors, Amazon Neptune, PostgreSQL/RDS, LangGraph, LangSmith, and a variety of approved frontier LLM models and APIs.

New York, NY30+ days ago

$115,000–$165,000 Per Year

Positioned at the center of big data, innovative technology, and multichannel media, Veeva Crossix provides life sciences companies with insights to help make strategic business decisions and drive improved patient outcomes. Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.

New York, NY30+ days ago

$130,000–$160,000 Per Year

Competencies: Corporate: Quality of Work Productivity Communication and Teamwork Initiative and Leadership Customer Focus / Service Technical Analytical Financial Acumen Mathematical Acumen Statistical Knowledge METRICS FOR MEASURING SUCCESS: Build predictive analytics model and improve the accuracy of the result set Support initiatives affecting Welltower's data and analytics solutions Welltower's data is protected and monitored against misuse and loss, and senior management is regularly assured of this, with no breaches occurring Employment is contingent upon the successful completion of a background check, drug screening, and verification of employment, education, and other credentials relevant to the position. Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company's data with third party sources of information as and when needed Analyzing the output of the predictive analytics model to make meaningful information valuable to Welltower investment process Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner OTHER DUTIES Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of this employee for this job.

NY30+ days ago

Remote

$80–$87 Per Hour

In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts.

New York, NY21 days ago

$102,100–$202,200 Per Year

OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience. OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).

Jersey City, NJ14 days ago

$232,100–$285,000 Per Year

Skills Required: This position requires three (3) years of experience with the following skills: developing and deploying machine learning techniques in financial domains, including regression, classification, clustering, and time series analysis; designing and implementing financial engineering models to optimize stock borrow and loan strategies; developing and refining Natural Language Processing models to extract insights from unstructured text data; designing and tuning language models using deep neural networks to solve problems in areas including sequence prediction and language modeling; implementing transformer-based models, including BERT, GPT and Focal loss function; conducting Monte Carlo simulations for modeling and evaluating the impact of uncertainty and variability in firm''s liquidity forecasts; performing matrix computations and applying linear algebra techniques to optimize algorithms and improve the efficiency of machine learning models; utilizing Spark, Hadoop, Shell Scripting, Pentaho and Qliksense Server Side Extensions to create Qlik plugins; Kubernetes and Spark on Kubernetes; and machine learning (ML) model deployment using Jenkins pipeline. QUALIFICATIONS: Minimum education and experience required: Bachelor''s degree in Mathematics, Computer Science, Data science or related field of study plus seven (7) years of experience in the job offered or as Data Scientist, Financial Reporting Analyst, or related occupation.

NY30+ days ago

Remote

$179,550–$198,450 Per Year

Each individual at Point brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides better services to customers, and helps us all grow and learn. Point has identified the expected annual base salary for this role at this level based on the market by tiers (Region | Location | Market Salary): Tier 1 | San Francisco Bay Area, New York, and Seattle | $179,550 - $198,450.

NY14 days ago

$249,960–$349,920 Per Year

If you are an experienced data scientist with a knack for measurement architecture, possess strong product and business judgment, excel in executive storytelling, and have a proven track record of bar-raising influence, all while being self-directed in ambiguous environments, we'd love to get to know you! Powered by industry-leading AI, data from over 2 million contracts, and a global network of legal professionals, Ontra automates critical private market workflows across the fund lifecycle.

New York, NY30+ days ago

$178,300–$407,000 Per Year

If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com. We are looking for a Senior Manager, Data Scientist to be a senior technical leader across our most important AI bets driving applied research, leading multi-disciplinary teams, and shaping how EY designs, builds, and scales AI solutions for our clients.

New York, NY9 days ago

$100,000–$150,000 Per Year

Fueled and driven by capable, committed people who share common beliefs and values and "bring it" every day, EPIC is always looking for people who have "the right stuff" - people who know what they want and aren't afraid to make it happen. LOCATION: Hybrid - at least 3 days a week in one of our EPIC offices, preferably San Ramon CA but open to any of our office locations (for a full list, visit: https://www.epicbrokers.com/about/locations/).

Morristown, NJ30+ days ago

$128,000–$252,500 Per Year

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.

CT22 days ago

$128,000–$252,500 Per Year

New York, NY15 days ago

$169,541–$170,541 Per Year

Additional requirements: Five (5) years of experience with programming languages including Python and SQL; Five (5) years of experience with predictive models including time series models, liner regression, logistic regression, and random forest; Three (3) years of experience leading end-to-end data science project implementation; Three (3) years of experience with Visualization tools including Tableau; Three (3) years of experience with Big Data Tools including Apache Hadoop and Spark; Three (3) years of experience with cloud platforms and AWS. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.

Long Island City, NY12 days ago

This role offers the opportunity to drive interdisciplinary science projects that integrate the latest advances in computational biology, deep learning and receptor science while working in close collaboration with leading domain experts. Key Responsibilities: Build and curate high‑quality, model‑ready datasets from heterogeneous receptor screening data, including mixtures, natural products, and noisy biological readouts.

Jersey City, NJ7 days ago

You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of commercial data science experience, operating completely autonomously with no required supervision; - Advanced proficiency in Python, R, and SQL; - Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools; - Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models; - Upper-intermediate English level. - Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact; - Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework; - Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives; - Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.

New York, NY30+ days ago

$94,248–$215,050 Per Year

Positioned at the intersection of data science, GenAI, and product thinking, you will work directly with product and delivery teams to surface non‑obvious opportunities, establish a clear point of view, and help convert ideas into durable, intelligent solutions that continuously improve how work gets done. We are looking for a builder‑minded data scientist who uses modern AI tools to create, edit, and evolve code; rapidly prototype workflows and products; and partner closely with engineers, subject‑matter experts, and operators to move from insight to sustained impact.

21 days ago

Remote

$144,320–$240,092 Per Year

As a member of our team, youll work closely with product managers, product designers, engineers, and other cross-functional partners to devise appropriate measurements and metrics, design randomized controlled experiments, build visualizations, and tackle hard, open-ended problems that uncover usage patterns and opportunities across Quora. Example projects include modeling long-term growth, improving the relevance and personalization of the homepage feed, analyzing drivers of user engagement and question-asking behavior, optimizing marketplace efficiency, and evaluating the effectiveness of monetization initiatives.

New York, NY20 days ago

$95,600–$188,400 Per Year

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions and framework design, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.

New York, NY21 days ago

$240,000–$249,500 Per Year

As a Senior Staff Data Scientist, you will go beyond individual problem solving - you will help shape the strategic direction of applied data science, mentor senior and junior scientists, and collaborate closely with engineering, product, operations, and business leaders to move our ML and analytics capabilities toward scalable, production-grade systems. As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in more than 4,000 cities, creating the ultimate food experience by elevating online ordering through innovative restaurant technology, easy-to-use platforms, and an improved delivery experience.

NY30+ days ago

$202,400–$253,000 Per Year

This role will build and scale forecasting models for our existing book of business, helping transform a historically manual, assumption-heavy process into a robust, production-oriented forecasting engine that improves forecast quality, consistency, and speed. Translate commercial planning questions into scalable forecasting solutions, partnering closely with Commercial Operations, Sales, Marketing, and Finance to ensure the models reflect real-world dynamics and are usable in day-to-day decision making.

New York, NY30+ days ago

$180,000–$200,000 Per Year

Carlyles purpose is to invest wisely and create value on behalf of its investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions, and corporations. Founded in 1987 in Washington, DC, Carlyle has grown into one of the worlds largest and most successful investment firms with more than 2,500 professionals operating in 27 offices in North America, Europe, the Middle East, Asia, and Australia.

NJ30+ days ago

Sprinklr's unified platform provides powerful solutions for every customer-facing team - spanning social media management, marketing, advertising, customer feedback, and omnichannel contact center management - enabling enterprises to unify data, break down silos, and act on real-time insights. • Advanced presentation skills to share key insights with executives, senior leadership and business stakeholders Advanced presentation skills to share key insights with executives, senior leadership and business stakeholders.

New York, NY30+ days ago

$119,800–$234,700 Per Year

The ideal candidate will have a solid background in data science, machine learning and advanced analytics with a proven track record of developing predictive models, conducting rigorous data analysis and translating complex data into actionable insights that drive business impact. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

New York, NY21 days ago

$73,150–$112,554 Per Year

We're looking for relevant academic, research or work experience, which typically includes: A Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing or social science methods. We build inferential and predictive models, including machine learning algorithms and AI; we process, integrate and manipulate big data with distributed systems and customer data pipelines; we synthesize results and translate findings into compelling stories that resonate with clients.

New York, NY30+ days ago

$112,290–$179,712 Per Year

Qualifications We're looking for rigorous analytic training and 7+ years professional experience in a data science or analytics role, which typically includes: Robust domain expertise in areas of statistical methods, machine learning, AI, distributed computing, and/or open-source programming languages Experience integrating a variety of data sources, methods, and applications to achieve specific objectives Experience implementing a range of statistical or machine learning methods, from basic descriptive statistics, hypothesis testing and feature transformation to complex dimension reduction, supervised or unsupervised learning, and model tuning and validation. We build inferential and predictive models, including machine learning algorithms and AI; we process, integrate and manipulate big data with distributed systems and customer data pipelines; we synthesize results and translate findings into compelling stories that resonate with clients.

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