Top Data Science Jobs in NYC
Develop advanced algorithms and execute statistical techniques on large data sets. Evaluate emerging datasets and technologies, contribute to thought leadership, and have strong analytical and quantitative skills.
Manage AI capabilities in pharmaceutical discovery, work with clients on high impact projects, lead a team of data scientists, develop AI offerings, and present results at industry conferences.
Data Science Manager focusing on Supply Chain & Manufacturing at ZS, leading data science capabilities development, AI-driven data products implementation, and client engagement for transformative solutions. Responsibilities include project management, client relationship management, team leadership, and thought leadership.
Senior Manager, Data Scientist role at Capital One focusing on business card & payments. Partner with cross-functional teams to deliver customer-centric products. Utilize Python, Conda, AWS, H2O, Spark for data insights. Build machine learning models and translate complex work into business goals.
The Data Science Manager at Capital One's Apollo Team will be responsible for building machine learning pipelines to extract insights from billions of records. The role involves collaborating with a cross-functional team to deliver customer-focused products using a broad stack of technologies like Python, AWS, and Spark.
Senior Manager in Data Science role at Capital One, leading a team in developing AI-powered products using Python and other technologies. Responsible for building and deploying machine learning models to analyze large volumes of data and translate complexity into business goals. Ideal candidate is innovative, technically proficient, statistically-minded, and a data guru. Requires Bachelor's Degree plus 7 years of experience in data analytics or equivalent.
Lead the analytical optimization of marketing programs throughout the marketing lifecycle, build strong relationships with clients, collaborate across data & analytics functions, advocate for specific data needs, maintain processes and controls, and coach junior team members in campaign analysis.
Apply sophisticated machine learning methods to tasks such as NLP, speech analytics, time series predictions, and recommendation systems. Collaborate with various teams to deploy solutions into production and drive firm-wide initiatives by developing large-scale frameworks for the application of machine learning models.
As a Data Scientist Senior Associate for Wholesale Payments, you will design and implement high-quality solutions for complex business problems. You will utilize cutting-edge machine learning techniques and work with large data sets to optimize business decisions. You will also be responsible for understanding business needs, choosing ML strategies, applying ML techniques, and analyzing model performance.
Featured Jobs
As a Senior Data Scientist on the Large Language Models team, you will contribute to building powerful features within the Datadog application using advanced generative AI technologies. You will work on projects such as fine-tuning and training infrastructure, deploying LLMs on GPU instances, and designing robust and secure infrastructure. You will collaborate with AI specialists and scientists, actively participate in research discussions, and provide insights on massive data processed in Datadog systems. A BS/MS/PhD in Computer Science, Engineering, or a related scientific field is required, along with experience in Language Models, NLP, deep learning, and ML development frameworks. Experience with Pytorch, Tensorflow, and CUDA is preferred. This is a senior-level position.
The staff data scientist will be responsible for identifying high impact business opportunities, developing and scaling machine learning models and pipelines, mentoring data scientists, and collaborating with stakeholders.
The Senior Applied AI Scientist will be responsible for building, evaluating, and shipping products that use AI models. They will develop Gusto Assistant, improve LLMs, collaborate with AI/ML infrastructure teams, and research novel AI techniques.
GoodRx is seeking a Data Science Manager to lead data initiatives in collaboration with product and marketing teams. Responsibilities include translating business needs, mentoring team members, developing best practices, building predictive models, and deriving insights from data. The ideal candidate has 5+ years of data science experience, strong knowledge of Python and databases, and prior experience managing data scientists.
Lead a team of data scientists, data engineers, and machine learning engineers to develop and deploy AI and Data products for multiple client use cases. Stay updated on the latest ML and AI advancements, design and implement innovative algorithms, ensure DataOps and MLOps practices, and comply with data privacy regulations.
The Senior Data Scientist at Nayya is responsible for developing and maintaining machine learning systems, particularly in the areas of recommender systems and Natural Language Processing (NLP). They will work closely with stakeholders to define business requirements and deploy AI solutions into production. The role requires strong proficiency in Python and machine learning libraries such as TensorFlow and Pytorch.
Drive the development of financial models, identify measurement gaps, support financial reconciliations, develop savings forecasts, and standardize measurement definitions at Thyme Care.
Senior Data Scientist role focusing on customer analytics, influencing strategic decisions, and working closely with various teams to ensure enterprise readiness. Requires strong accountability, proficiency in SQL and Python/R, and the ability to translate insights into business impact.
Collaborate on product and business problems, apply technical expertise for data analysis, develop strategies, test hypotheses, improve products, measure success, and shape product development using data.
As a Senior Data Scientist in Marketing at Atlassian, you will use data to drive insights about products and customers, collaborate with cross-functional partners, develop strategies, and measure the success of marketing investments. You will apply statistical concepts, tell stories with data, and have the opportunity to shape marketing efforts through data analysis.
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