Data Scientist II - Services and Support at Chartbeat

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Media, Publishing, TechnologyIndustries

Requirements

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
Comfort interacting directly with customers and presenting analytical findings in a clear, professional manner
Strong problem-solving mindset and ability to work collaboratively

Responsibilities

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

Skills

Data Science

Python

SQL

Machine Learning

Statistical Analysis

Data Visualization

Real-time Analytics

Audience Analytics

Chartbeat

Real-time analytics for digital publishers

About Chartbeat

Chartbeat provides real-time analytics specifically designed for digital publishers, including news organizations and magazines. Its platform allows clients to access data on how readers engage with their content, such as page views, scroll depth, and time spent on articles. This information helps publishers understand their audience better and make informed decisions to enhance reader engagement and loyalty. Unlike many competitors, Chartbeat focuses solely on the media and publishing sector, tailoring its services to meet the unique needs of content-driven websites. The company's goal is to empower publishers to optimize their content strategies and grow their audience through actionable insights.

New York City, New YorkHeadquarters

2009Year Founded

$38MTotal Funding

LATE_VCCompany Stage

Data & Analytics, Consumer SoftwareIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Parental Leave

Phone/Internet Stipend

Wellness Program

Flexible Work Hours

Unlimited Paid Time Off

Paid Holidays

Risks

Emerging analytics platforms offer similar insights at lower costs, threatening market share.

Cuadrilla Capital acquisition may disrupt client relationships and strategic focus.

Evolving privacy regulations could limit data collection, impacting Chartbeat's services.

Differentiation

Chartbeat offers real-time analytics tailored for digital publishers' unique needs.

The platform provides minute-by-minute insights on visitor engagement and site performance.

Chartbeat's subscription model allows scalable access to premium analytics features.

Upsides

AI-driven content personalization trends enhance Chartbeat's tailored insights offerings.

5G expansion boosts mobile content consumption, increasing data for Chartbeat's analytics.

First-party data reliance due to privacy regulations benefits Chartbeat's audience insights.

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