Senior Applied Data Scientist — Predictive BI & Modeling

Hearst Magazines; New York (NY); Hybrid; USD 133,000 - 178,000; Full time

Benefits offered by this job

Collaborate with top-tier professionals

Access to innovative training programs

Competitive financial perks including a 401(k) plan

Job summary

SupportFinity™ in New York is seeking a Senior Applied Data Scientist to drive impactful analytics and insights across its portfolio. In this role, you will bridge data science and BI engineering to build scalable models that support strategic decisions.

The ideal candidate should have 3–6 years of experience in data science, proficiency in Python and SQL, and a strong ability to present data insights effectively. This is a hybrid position, demanding both in-office collaboration and flexibility.

Qualifications

• 3–6 years of experience in applied data science, predictive analytics, or quantitative modeling.
• Proficiency in Python and SQL.
• Hands‑on experience with statistical, forecasting, and optimization techniques.

Responsibilities

• Develop and maintain analytical and semantic layers.
• Contribute to the organization’s data maturity roadmap.
• Develop and validate predictive and prescriptive models.
• Conduct statistical analysis to assess quality of datasets.
• Present results through clear visualizations and narratives.

Skills

Python (Pandas, Scikit-Learn, Statsmodels, Prophet)

SQL (BigQuery preferred)

Statistical analysis

Data quality assessments

Communication and data storytelling

Education

3–6 years of experience in applied data science or predictive analytics

Tools

DBT

Airflow

Job description

SupportFinity™ in New York is seeking a Senior Applied Data Scientist to drive impactful analytics and insights across its portfolio. In this role, you will bridge data science and BI engineering to build scalable models that support strategic decisions.

The ideal candidate should have 3–6 years of experience in data science, proficiency in Python and SQL, and a strong ability to present data insights effectively. This is a hybrid position, demanding both in-office collaboration and flexibility.