Data Scientist II - Services and Support

Company Overview:

Chartbeat, Tubular, Lineup, and FatTail are united in our mission to connect publishers with the insights, tools, and technology they need to thrive in a rapidly evolving media landscape. Chartbeat’s intuitive and powerful software empowers media brands to use real-time and historical data to build loyal audiences across desktop, mobile, and social platforms. Tubular, the leader in global social video intelligence, delivers a unified view of audience behavior across YouTube, Instagram, Facebook, Twitch, and Twitter.

With the addition of Lineup, a leading provider of media sales technology, and FatTail, a pioneer in monetization and revenue optimization solutions, our combined platform now supports the full publishing value chain — from audience growth and content intelligence to ad sales and revenue operations. By bringing together robust, network-level datasets and powerful monetization tools, we help our partners better understand their audiences, make smarter decisions, and unlock new revenue opportunities.

Today, we serve more than 1,000 brands around the world, including influential media organizations such as The New York Times, the BBC, ESPN, Vox, BuzzFeed, Paramount, Warner Bros., Mediahuis, Hearst, McClatchy, and GQ.

Responsibilities

As a Data Scientist (Services and Support) at Chartbeat, you will:

• Partner with Professional Services, Engineering, and customer-facing teams to understand client goals and translate them into analytical solutions
• Analyze large datasets using Python, SQL, Spark, and Jupyter and Deepnote Notebooks to uncover insights, diagnose anomalies, and support client needs
• Conduct hands-on feasibility assessments for new requests by reviewing code, data models, processing logic and developing prototypes 
• Deliver scripts, data exports, and visualizations that help customers make data-driven decisions
• Lead discussions with clients to explain methodologies, communicate findings, and provide actionable recommendations
• Document analysis, workflows, and results in a clear, reproducible manner
• Contribute to the continuous maintenance and improvement of internal analytics processes and best practices, maintaining and automating workflows where possible to enhance efficiency and data quality.
• Identify, troubleshoot and resolve data inconsistencies and work proactively to ensure high data quality.

About You

• 2+ years working as a Data Scientist, ideally within a B2B SaaS environment
• Solid knowledge of statistical models, as evidenced by a degree in a quantitative discipline
• Strong proficiency in Python (pandas, NumPy) and SQL for data manipulation and analysis
• Hands-on experience with Spark and Jupyter and Deepnote Notebook
• Experience with version control (Git/GitHub)
• Knowledge of common data stores and data warehouses, particularly Snowflake, AWS S3 or similar is essential
• Comfort interacting directly with customers and presenting analytical findings in a clear, professional manner
• Strong problem-solving mindset and ability to work collaboratively with cross-functional teams
• Bridges the gap between technical and business teams by clearly explaining methodologies, statistical outcomes, and key drivers of performance.

Salary Range: $110,000-$140,000 USD per year