818 Data Scientist jobs in New York

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI

As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Suite . You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning / data mining algorithms to answer those questions and implement those on the C3 AI Suite so they can run at scale. C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery.

Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale.

Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs.

Responsibilities:

• Driving adoption of Deep Learning systems into next generation of C3 AI products.
• Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance.
• Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.

• MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
• Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
• Experience with prototyping languages such as Python and R.
• Strong mathematical background (linear algebra, calculus, probability, and statistics).
• Experience with scalable ML (MapReduce, streaming).
• Ability to drive a project and work both independently and in a team.
• Smart, motivated, can-do attitude, and seeks to make a difference.
• Excellent verbal and written communication.
• Ability to travel as needed

• Experience with JavaScript and Java.
• Experience with time series and dynamical systems.
• A portfolio of projects (GitHub, papers, etc.).
• Experience working with modern IDEs and AI agent tools as part of accelerated development workflows.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise.Learn more at: C3 AI

As a member of the C3 AI Data Science team,you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on theC3 AI Suite . You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning / data mining algorithms to answer those questions and implement those on the C3 AI Suite so they can run at scale. C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery.

Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale.

Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs.

Responsibilities:

• Driving adoption of Deep Learning systems into next generation of C3 AI products.
• Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance.
• Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.

Qualifications:

• MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
• Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
• Experience with prototyping languages such as Python and R.
• Strong mathematical background (linear algebra, calculus, probability, and statistics).
• Experience with scalable ML (MapReduce, streaming).
• Ability to drive a projectand workbothindependently and in a team.
• Smart, motivated, can-do attitude, and seeks to make a difference.
• Excellent verbal and written communication.
• Ability to travel as needed

Preferred Qualifications:

• Experience withJavaScript and Java.
• Experience with time series and dynamical systems.
• A portfolio of projects (GitHub, papers, etc.).
• Experience working with modern IDEs and AI agent toolsas part of accelerated development workflows.

C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.

C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

• Create SQL queries to pull and aggregate data from tables of logs of autonomous driving from the real world and simulation.
• Correctly estimate rates of different types of behaviors with confidence intervals from sampled events using SQL. Experience with confidence interval calculation is required.
• Create dashboards to display rate estimates and simulation results with appropriate filtering capabilities.
• Follow-up with data scientists, systems engineers, and test engineers.
• Update queries for existing dashboards to reflect the latest release.
• Present overall status of rates and specific contributing logs and simulations.
• Improve the workflows by automation.

Required:
• Strong ability to write SQL queries, SQL modules, and SQL tests, and maintain a high standard of readability and code health.
• Python and/or C++ programming experience.
• Strong knowledge of statistics, including confidence interval calculations.
• 3-5 years of data analysis experience.
• Previous experience in program management, task tracking, or operations.
• Previous experience with program management software tools. (JIRA or equivalent)
• Strong understanding of databases and data pipelines.
• BS/MS in a technical field.

Desired:
• Experience in automotive and/or trucking industry.
• Experience implementing new operational workflows.
• Interest and willingness to improve existing analysis software and report generation.

Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world's leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you.

Position: Data Scientist
Location: New York, NY - 10055 (Remote Work from Home)
Duration: 12+ Months Contract

Mandatory Skills and Experience:

• Machine learning (supervised & unsupervised algorithms)
• Natural Language Processing (NLP)
• Python
• Model Development and Deployment

• Deep skills in creating models to develop scalable solutions
• Experience in deploying models and putting models into production
• Good understanding of end-to-end data science projects - data intuition validation, model design, implementation, validation and testing, and deployment
• Proven track record of building and demonstrating business value from predictive models and data products
• Ability to write clean, understandable, well-documented code, following best practices
• Experience with Machine Leaning algorithms - supervised & unsupervised
• Experience dealing with both structured & unstructured datasets and drawing the insights from the data

• Analyze large datasets to identify trends, patterns, and insights.
• Develop and implement machine learning models using Python and Azure Client.
• Perform data preprocessing, feature engineering, and model evaluation.

• Utilize Azure Databricks for data processing, transformation, and analysis.
• Develop and maintain ETL pipelines using Apache Spark on Databricks.
• Collaborate with data engineers to ensure data quality and integrity.

• Deploy and monitor machine learning models in production environments.
• Use MLflow for tracking experiments, managing model lifecycle, and versioning.
• Implement best practices for model deployment, scalability, and performance.

• Work closely with cross-functional teams, including data engineers, software developers, and business analysts.
• Communicate findings and insights to stakeholders through reports, dashboards, and presentations.

• Predict sources of business volume via the highest fidelity identity data
• Power personalization through creative, media and production through our AI platform and persistent, durable identity-linked activation
• Prove outcomes through direct line of sight into ID-level exposure, behavior and transactions

• Partner with Audience Strategy leads to identify and model audience whitespace opportunities using first- and third-party data, syndicated research, and behavioral signals.
• Design and deploy predictive segmentation, targeting, and measurement models to fuel innovative campaign strategies and new business pursuits.
• Build Python-based data science solutions and deploy to Databricks, AWS and Azure environments to scale strategic audience solutions.
• Translate complex datasets into compelling visualizations, frameworks, and narratives that differentiate Publicis Groupe in competitive pitch environments.
• Collaborate with creative, media, and technology partners to embed data science outputs into end-to-end communication planning.
• Evolve and co-develop proprietary audience intelligence tools in collaboration with CoreAI, enhancing Groupe-level product innovation.
• Actively contribute to strategic responses in RFPs and pursuits-applying data science to unlock bold, bespoke audience experiences.
• The ideal candidate should have a deep understanding of AI, data science, and media technology.

• Strategic Edge in New Business: Use machine learning and advanced modeling to drive white space identification and predictive audience planning that wins pitches.
• Innovation Engine: Help architect new solutions that blend AI, insight, and data storytelling into a differentiating market position.
• Collaboration Catalyst: Act as a bridge between technical development and strategic application-making complex models understandable and actionable for stakeholders.
• Product Builder: Shape the future of Publicis' audience intelligence and data science products alongside product and business development teams.

• 3-4 years of experience in Python programming and data analysis (Pandas, NumPy, Scikit-learn), ideally within a media, marketing, or tech context.
• Advanced skills in regression, predictive modeling, statistical inference, and experimental design.
• Familiarity with Marketing Mix Models, attribution techniques, and consumer behavior datasets.
• Experience visualizing insights for C-level or new business audiences; ability to translate data into decision-making tools.
• Proven experience deploying applications and models into cloud environments, Databricks experience a plus.
• Strong interpersonal skills with the ability to operate in high-pressure, fast-paced environments (e.g., pitch rooms, RFP war rooms).

• Combine strategic vision with hands-on execution in high-pressure pitch environments
• Thrive in fast-paced, entrepreneurial teams that prioritize innovation and experimentation
• Can make the complex simple and the theoretical actionable
• Possess an instinct for cultural signals, behavioral shifts, and emerging data opportunities

• Citizen (free): Real-time alerts, live incident maps, and community broadcasts
• Premium ($20/mo): Connects users 24/7 to a trained safety agent who can track them, contact emergency services, and alert loved ones

• Analyze user behavior and product usage to identify trends and opportunities for product growth and engagement
• Effectively translate data into clear, actionable recommendations to define the product roadmap and to make feature improvement decisions
• Partner with Product, Engineering, and Design to guide strategic decisions
• Design and analyze experiments to measure feature impact and recommend ship decisions
• Advocate for best practices in data usage, experimentation, and metrics reporting to ensure accuracy and reliability
• Build data pipelines and develop dashboards and self-service tools to aid stakeholders

• 2-4 years of experience in a data science or product analytics role.
• Proficiency in SQL and at least one scripting language (e.g., Python or R).
• Strong understanding of statistical analysis, causal inference, and experimentation design
• Experience with BI tools (e.g. Tableau, Sigma) and data platforms (e.g., Bigquery)

• Understanding of data modeling and ETL pipelines.
• Previous experience as Product DS working on product driven start-ups
• Master's or Ph.D. Degree in a quantitative field

• 100% employer-paid medical, dental, and vision for employees
• Unlimited PTO
• Up to 14 weeks paid parental leave (for all parents)
• Monthly tech stipend
• Free mental health support
• Hybrid work environment + catered lunches (NYC HQ)

• Design, build, and deploy core features for our AI stylist using advanced techniques like Retrieval-Augmented Generation (RAG) and LLM-powered agents.
• Own the end-to-end lifecycle of our models, from data processing and fine-tuning to creating robust evaluation frameworks that measure quality and accuracy.
• Masterfully craft and iterate on prompts to shape the AI's persona, ensuring it embodies the voice and expertise of a world-class fashion consultant.
• Collaborate closely with product, design, and engineering teams to translate user needs and creative concepts into tangible, production-ready AI features.
• Champion rapid, hypothesis-driven experimentation, embracing the freedom to take calculated risks, test bold ideas, and pivot quickly to discover breakthrough user experiences.
• Stay at the forefront of the rapidly evolving AI landscape, researching and prototyping new architectures and techniques to continuously elevate our product.

• You have hands-on experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, programmatic API usage, and building evaluation frameworks.
• You have a strong interest or background in the fashion, retail, or luxury goods industry. You possess a keen eye for aesthetics and an intuitive understanding of the user you're building for.
• You possess a strong background of machine learning fundamentals, including classification, regression, clustering, and the principles behind embeddings and gradient descent. You are proficient in Python and a major deep learning framework such as PyTorch or TensorFlow.
• You are a pragmatic and proactive builder who thrives in a fast-paced, autonomous environment, capable of driving projects from a simple idea to a fully realized feature.
• You are an empathetic and collaborative teammate, skilled at communicating complex technical ideas and passionate about building products that users genuinely love.

• Competitive salary, equity and benefits (medical, dental, vision, 401k, etc.)
• Flexible vacation and remote working
• The opportunity to be part of a groundbreaking, AI-focused company
• Collaborative work environment with a team of talented, fun-loving individuals.
• Opportunity to learn and grow in your career while shaping the future of fashion, shopping and technology

• Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.
• An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.
• Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.

• Drive strategic projects that require deep data analysis, with accountability for end-to-end execution and business outcomes - this may include:
  
  • Sourcing and using industry and market data to shape Tandem's go-to-market and growth strategy
  • Leveraging our internal workflow data to predict operational throughput and bottlenecks and prioritize new workflow automations as we scale
  • Prototyping new modeling approaches to AI problems (e.g., outcome prediction and optimization for insurance-related processes) in collaboration with our Engineering team
  • Building out a unified user interaction model to define Tandem's consumer and provider product roadmaps
• Create and rapidly iterate on externally facing data products for Tandem's key partners and actively participate in priority client engagements
• Establish Tandem's core data sources and metrics to empower everyone on the team to answer complex questions about Tandem's business in real-time
• Work directly with our CEO and leadership team as a critical partner in making business decisions as we balance speed of growth and long-term profitability

• An advanced degree in a quantitative field or 2+ years of work experience in an analytics-heavy, business-focused role
• Strong technical background with exceptional ability to do data analysis using SQL and Python, as well as pick up new tools on the fly
• Comfort with zooming in and out of problems, jumping between high-level thinking and granular methods of problem-solving
• Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships
• Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals
• High NPS with your former teammates

• Commit to audacity. "Whether you think you can, or you think you can't - you're right."
• Do the math. Be rigorous, assume nothing.
• Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.
• Spit it out. Be direct, invite critique, avoid equivocation - we want right answers.
• Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.
• Do what it takes to be number 1. We work hard to make sure we win.

• Fully covered medical, vision, and dental insurance.
• Memberships for One Medical, Talkspace, Teladoc, and Kindbody.
• Unlimited paid time off (PTO) and 16 weeks of parental leave.
• 401K plan setup, FSA option, commuter benefits, and DashPass.
• Lunch at the office every day and Dinner at the office after 7 pm.

Valence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We're not just talking about the future of work - we're building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology.

Our focus is on the problems that actually decide whether AI changes how organizations operate - the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance.

And this isn't for everyone. We're not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what's possible, who get bored when things feel "done," and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself.

The Role

In this role you'll be critical in shaping how data informs decisions across our product, customer, and go-to-market teams. You'll uncover user behavior patterns, operational performance insights, and commercial opportunities - all while helping to lay the foundation for a scalable, insight-driven data culture. You'll collaborate deeply with leaders across Product, Engineering, Sales, and Customer Success to ensure we're making the smartest possible decisions from day one.

About Valence

We're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing.

We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, ServiceNow, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb.

Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.

What You'll Do

• Product & Customer Analytics
• You will analyze platform usage, feature engagement, and user interaction with our AI-powered coaching tools to surface actionable insights.
• You'll identify friction points and areas of opportunity across key user journeys.
• You'll support rigorous A/B testing, evaluate AI model performance, and help assess the impact of new features on user experience and outcomes.
• Reporting & Visualization
• You'll develop self-serve dashboards and recurring reporting frameworks to democratize access to data across teams.
• You will translate complex data into clear, compelling stories for technical and non-technical audiences to support data-informed decision-making.
• Data Infrastructure & Collaboration
• You'll collaborate with Product and Engineering teams to define tracking requirements and ensure accurate, consistent data collection.
• You'll identify and recommend improvements to data processes that enhance quality, efficiency, and trust in analytics across the organization.

• You have 2+ years of experience in a data analytics role, ideally within a B2B SaaS or AI-focused startup environment.
• You hold at least a Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• You are highly proficient in SQL and comfortable writing complex queries and working with diverse database structures.
• You have hands-on experience with Python (using libraries like Pandas, NumPy, Matplotlib, or Seaborn) or R for data analysis and visualization.
• You're familiar with BI tools such as Tableau, Looker, Power BI, or equivalent platforms.
• You're familiar with using Excel or Google Sheets for ad hoc analysis and data exploration.
• You may also bring experience with product analytics platforms (e.g., Mixpanel, Amplitude), cloud environments (e.g., AWS or GCP), or data warehousing concepts.
• You know how to break down complex business problems into structured analyses.
• You are skilled at identifying trends, patterns, and outliers in data to uncover key insights.
• You can clearly communicate findings-both in writing and verbally-to technical and non-technical stakeholders alike.
• Nice to have: You've worked in a fast-paced, early-stage startup, you bring familiarity with AI/ML concepts, you understand SaaS metrics and enterprise customers.

• Ownership & Rapid Growth
• Outsized missions from day one, with direct responsibility for company-defining projects
• Work alongside the executive team with transparency into strategy and decision-making
• Influence on direction through real-time customer feedback and market insights
• AI-First Operator
• Work directly with cutting-edge AI models and next-generation platforms
• Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries
• Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale
• Compensation
• Competitive salary including base + bonuses
• Comprehensive health coverage (medical, dental, vision) from day one
• Generous PTO, company-wide R&R shutdowns, and paid parental leave
• Retirement plan support for US and global employees
• Equity
• Meaningful ownership in a venture-backed company at a growth inflection point
• Financial upside that comes from scaling fast
• Top-up grants as we scale and you deliver exceptional performance - your compensation grows alongside your impact
• Top-Performing Culture
• A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together


Learn more about us and meet our team here
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