NewPrincipal Data Scientist Wiley Global TechnologyPrincipal Data ScientistHoboken, New JerseyThat means putting traditional NLP (NER, sequence labeling, classification), embedding-based retrieval, LLM prompting, and fine-tuned smaller models on the same table, and defending each choice with evaluation, cost, and operational tradeoffs. That meansproductionNLP pipelines running over millions of journal articles, extracting entities, classifications, claim tuples, and summariesoptimizedfor use by downstream agentic applications.
Payer Healthcare Data Scientist, Manager PwCPayer Healthcare Data Scientist, ManagerNew York, NY$99,000–$232,000 / yearAs part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable insights that reduce cost of care and improve population health outcomes for our payer clients. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy .
Data Scientist FindigsData ScientistNew York, NY$160,000–$185,000 / yearReporting to the Lead Analytics Engineer, this is a highly technical, high-ownership role for a data scientist who wants to build and improve production models, bring statistical rigor to product decisions, and grow into broader strategic scope as the team evolves. You will work across two surfaces: (1) operational model work in the DA/CAV1 serving layer, and (2) analytics-focused modeling in Snowflake for experimentation and research, as well as partner with Product and Engineering on what signals matter and why.
Isoftstone Careers - Senior Data Scientist iSoftStone Inc.Isoftstone Careers - Senior Data ScientistNew York, NY$130,000–$150,000 / yearDesign data models and semantic layers on client data platforms (Snowflake, Databricks, Fabric, BigQuery); work with data engineering to define the tables the models actually need rather than accepting what exists. Build and productionize models across the retail value chain - demand forecasting and inventory optimization, customer segmentation and CLV, price/promo elasticity and markdown optimization, assortment and allocation.
Entry Level Data Scientist/Analyst/Java full stack developer-remote SynergisticITEntry Level Data Scientist/Analyst/Java full stack developer-remoteNew York, NYRemote$95,000–$154,000 / yearSince 2010 , SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers—companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client , and many more—with offers often ranging from $95,000 to $154,000 depending on role and skill depth. In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI —because companies hire teams, not single-skill candidates.
Data Scientist RaptiveData ScientistNew York, New York$100,000–$150,000 / yearRaptive combines its position as the world’s largest ad management platform with a comprehensive suite of monetization, audience and business solutions that enable creators to turn their passions and talents into thriving independent companies and enduring brands. Familiarity with processing large data sets (eg with Snowflake, Hive, Presto or BigQuery), scripting (eg Bash or Python), the AWS environment, & statistical software (eg NumPy, scikit-learn, R).
Data Scientist - Clinical Analytics (Remote) Penfield Search PartnersData Scientist - Clinical Analytics (Remote)Fairfield, CTRemoteThe ideal candidate combines strong programming and technical development skills with an understanding of clinical studies and the ability to build practical solutions that improve how teams access, analyze, visualize, and work with clinical data. Strong cross-functional communication skills with the ability to work effectively across Biostatistics, Statistical Programming, Data Management, and other clinical functions.
Senior Data Scientist - Real World Data Formation BioSenior Data Scientist - Real World DataNew York, NY$185,500–$232,000 / yearRecognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. You have working familiarity with real-world evidence study design concepts-such as active comparator new user designs, time-to-event outcomes, confounder adjustment, and causal discovery algorithms-sufficient to partner effectively with Data Scientists on causal inference workflows.
Remote | Data Scientist Network — $95–$145/hour 24-MagRemote | Data Scientist Network — $95–$145/hourNew York, New YorkRemoteWe are sharing a specialised opportunity for experienced data scientists interested in joining a talent network for potential future consulting projects involving advanced AI research and real-world data science evaluation. Future projects may focus on evaluating how effectively AI systems perform practical data science work across statistical modelling, machine learning, experimentation, exploratory analysis, feature engineering, and technical reporting.
Junior Java Programmer/Junior data scientist SynergisticITJunior Java Programmer/Junior data scientistNew York, NY$95,000–$154,000 / yearA 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, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
Junior Data Scientist with BI Skills/Junior Java Developer SynergisticITJunior Data Scientist with BI Skills/Junior Java DeveloperNew York, NY$95,000–$154,000 / yearA 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, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
Senior Data Scientist MasterCardSenior Data ScientistNew York City, NY$138,000–$221,000 / yearAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and. Overview: We are seeking a Senior Data Scientist to design, develop, and deploy machine learning models that power Ad targeting, ranking, and bidding optimization in real-time or near real-time environments.
NewPrincipal Data Scientist John Wiley & Sons, Inc.Principal Data ScientistHoboken, NJThat means putting traditional NLP (NER, sequence labeling, classification), embedding-based retrieval, LLM prompting, and fine-tuned smaller models on the same table, and defending each choice with evaluation, cost, and operational tradeoffs. That means production NLP pipelines running over millions of journal articles, extracting entities, classifications, claim tuples, and summaries optimized for use by downstream agentic applications.
Staff Data Scientist - Growth HeadwayStaff Data Scientist - GrowthNew York, NY$212,000–$265,000 / yearDefine canonical metrics (CAC, LTV, payback, conversion, retention, capacity-adjusted ROI), ensure definitions are consistent, and create a clear measurement narrative that aligns Marketing, Finance, and Product. Bring an evidence-based point of view on channel allocation, growth constraints, saturation, diminishing returns, and the tradeoffs between short-term acquisition and long-term retention and care outcomes.
NewMarkets Investigative Data Scientist NASDAQ Omx Group, Inc.Markets Investigative Data ScientistNew York City, NY$96,000–$163,000 / yearAs a Markets Investigative Data Scientist, you'll play a critical role in protecting market integrity by combining investigative analysis with AI and data science to support Nasdaq's Investigations and Enforcement program. Design and build AI-powered solutions - including large language model applications, retrieval-augmented generation pipelines, and agentic workflows - to make investigations faster and more effective.
Staff Data Scientist - Finance & Accounting HeadwayStaff Data Scientist - Finance & AccountingNew York, NY$212,000–$265,000 / yearYou will partner closely with both the Finance department (including Accounting, Strategic Finance, and FP&A teams) and Engineering, Product, and Operations teams in our Revenue Engine R&D pods to improve our revenue infrastructure and financial reporting. Proven success partnering cross-functionally with Finance, Accounting, Product, Engineering, and Operations teams, and collaborating internally across Data Engineering and Data Science.
Senior Data Scientist Oscar HealthSenior Data ScientistNew York, NY$163,944–$215,176.50 / yearThe Risk Adjustment Data Science team turns that data into the models, pipelines, and systems that quantify Oscar's clinical risk and power our risk adjustment submissions—work that directly impacts Oscar's financial performance and strategic decision-making. Designs, builds, and maintains production data pipelines, statistical/ML models, and analytical systems supporting Oscar's clinical risk adjustment quantification and submissions processes.
Data Scientist, Portfolio Optimization Formation BioData Scientist, Portfolio OptimizationNew York, NY$154,500–$202,000 / yearThe skills you develop here - portfolio construction over assets with radically asymmetric risk profiles, clinical trial analytics, AI/ML in production, and risk management across multi-year horizons - can directly impact the delivery of new and effective therapeutics to patients by best aligning impactful medicines with economic incentives. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials.
Senior Data Scientist AdonisSenior Data ScientistNew York, New York$225,000–$250,000 / yearThrough advanced automation, data science, and AI Agents, Adonis helps revenue teams detect vulnerabilities, optimize workflows, and deploy precise solutions that drive reliable and scalable financial outcomes. Adonis is headquartered in New York City and has raised over $95M in funding, including a recent $40M Series C round led by Quadrille Capital with continued support from existing investors such as General Catalyst and Bling Capital.
Lead Data Scientist, Newsroom Analytics Wall Street JournalLead Data Scientist, Newsroom AnalyticsNew York City, New YorkReporting to the Senior Manager, Newsroom Data, you will be embedded in one of the world's most influential newsrooms, working directly with newsroom coverage, audience, and product strategy teams on the decisions that shape how news is reported, prioritized, and delivered to millions of readers. You will: Partner with our digital strategy, coverage and product teams to identify the highest-impact analytical opportunities, define the right questions, and shape the data science roadmap around problems that drive real newsroom outcomes.