Top Hybrid Senior Level Data & Analytics Jobs in NYC
Lead Data Scientist role at GoodRx focusing on data science projects related to consumer pricing, incentives, and insurance. Responsible for building forecasting and optimization systems that impact pricing strategies. Requires 6+ years of data science experience with a strong technical background in machine learning and model deployment.
The VP, SAP Data & Analytics role at NBCUniversal involves leading the development and implementation of data and analytics strategies for multiple functional areas, including Source to Pay, HR/Payroll, and Finance. The role also includes guiding the transition to S4 HANA and developing master data management strategies.
Altice USA is looking for a Senior Director of B2B Analytics with 10+ years of experience to lead a team of analysts in identifying trends and insights to drive profitable revenue and subscriber growth. The ideal candidate should have strong analytical skills, leadership capabilities, and experience in SQL and Python. Responsibilities include collaborating with stakeholders, supporting strategic initiatives, and translating business needs into action. Qualifications include analytical mindset, team development skills, and ability to adapt in a fast-paced environment.
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Oversee and enhance data governance frameworks for HR and Employee Experience, lead data risk and governance management, develop data governance strategy, collaborate with various functions, educate workforce on data practices, ensure data handling processes compliance
Seeking a Senior Data Engineer with 5+ years of experience in Data Engineering, proficient in SQL and Python, experienced in building ETL/ELT pipelines on big data platforms, and familiar with technologies such as Snowflake and Spark. Must have a strong problem-solving ability and an understanding of ad-tech terms and secure architectures.
Lead the data and analytics engineering team at The Farmer's Dog, driving innovation and industry-changing disruptions in the pet health service industry. Use data-driven decision-making and problem-focused development to improve the lives of pets and pet owners. Work in a small team with a big vision to bring peace of mind and health to customers and their companions.
Build software systems to extract insights from data, use machine learning for business analytics, collaborate with a team to solve problems, and grow with the company.
The Senior Data Scientist, Algorithms at Bowery builds production-facing data products to automate and optimize agricultural and operational functions across indoor vertical farms. Responsibilities include designing and implementing machine learning models, optimizing farm operations, and analyzing historical data for forecasting yields and growth potential.
Seeking a Senior Machine Learning Engineer to lead a team in building, scaling, and launching AI and Data products. Responsibilities include strategic planning, developing ML/AI products, implementing innovative ML algorithms, and ensuring data privacy compliance. Must have a Master's or PhD in relevant field, 5+ years of ML model deployment experience, and 3+ years of people management experience.
Lead data pipeline, data strategy, and data visualization efforts for the Global Product Analytics team. Design and implement data models, automate data processes, mentor team members, and guide the Analytics Engineering roadmap. Collaborate with stakeholders to develop advanced analytical solutions and ensure data quality for new product releases.
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