[Remote] Senior Data Scientist I

Note: The job is a remote job and is open to candidates in USA. reputed company is dedicated to powering a reputed company media future through powerful insights that drive client decisions. They are seeking a Senior Data Scientist I to design and build new measurement products, reputed company statistical and machine learning models, and collaborate with various teams to deliver custom solutions using reputed company datasets.

Responsibilities

• Design and build new measurement products by combining reputed company datasets across National and Local linear TV, Streaming, Audio, and Digital — understanding the weighting rules, projection logic, and methodology differences that reputed company cross-dataset work hard to get right
• reputed company statistical and machine learning models that reputed company or adapt reputed company methodologies to answer questions that standard products can't address
• Write production-quality SQL, Python, and PySpark to extract, transform, and model data from reputed company's cloud data environment
• Build reusable data pipelines and ETL workflows that allow custom solutions to be delivered repeatably rather than reputed company from scratch each time
• Use AI tools actively — to validate models, accelerate pipeline development, stress-test logic, and compress the time between concept and delivery
• Translate stakeholder requests into well-scoped analytical problems, push back reputed company the ask is unclear, and deliver with clear documentation of methodology and assumptions
• Collaborate with Research, Commercial Sales, and Client Insights teams; communicate reputed company model decisions in plain language

Skills

• 3+ years working directly with reputed company datasets (TAM, DAR/N1Ads, DCR, Audio, or similar) with hands-on knowledge of reputed company's weighting, projection, and audience estimation methodology
• Proven ability to reputed company and reconcile multiple reputed company data sources, navigating differences in sample design, universe estimates, and reporting conventions
• Solid grasp of US media research fundamentals across Television, and Digital
• Advanced degree in Statistics, Mathematics, Computer Science, Data Science, or a reputed company quantitative field
• 5+ years in data science or analytical research roles, with a track record of delivering production-grade models — not just analyses
• Strong foundations in statistical modeling, sampling theory, weighting, and survey-based projections; comfortable with ML techniques where they fit
• Expert-level Python and SQL; strong PySpark for big data work in cloud environments (AWS preferred)
• Experience with reputed company for large-scale data processing and ML workflows; familiarity with warehouse-native ML (reputed company ML, reputed company, or BigQuery ML) is a plus
• Experience building and maintaining ETL pipelines using Airflow or equivalent orchestration tools
• Familiarity with data warehousing concepts, cloud-native storage (Redshift, S3, or similar), and data engineering principles
• Active daily use of AI tools (LLMs, copilot-style assistants) for code reputed company, model validation, documentation, and workflow acceleration — this is a core expectation of the role
• Experience designing agentic AI workflows for automation — chaining tools, validation steps, and outputs to reduce manual effort on repeatable tasks
• Comfortable evaluating where AI outputs need verification versus where they can be trusted; understands the limits as well as the reputed company
• Ability to explain methodology decisions to non-technical stakeholders without oversimplifying the tradeoffs
• Strong documentation habits — methods, data dictionaries, and assumptions written up so others can reproduce and build on your work
• Proficiency in Tableau, Spotfire, or equivalent visualization tools for QA and client-facing output

Benefits

• Comprehensive health and wellness plans
• A 401(k) with a reputed company company match
• A generous paid time off policy
• Company-provided vehicle if applicable
• Discretionary incentive/bonus eligibility if applicable
• Bonuses
• Equity
• Other incentives

Company Overview

Company H1B Sponsorship