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Job Description:
We are seeking a Senior Data Scientist to join an existing team developing high-value insights and products derived from massive behavioral datasets. You will bridge the gap between raw user behavior and alpha-generating insights by developing aggregate, anonymized products that meet rigorous privacy standards.
Key Responsibilities
- Design and build products that translate anonymized behavioral signals into leading indicators for financial performance.
- Research and create proprietary indices that can be leveraged by financial services clients.
- Perform rigorous backtesting on new and existing products against historical financial outcomes.
- Implement anonymization and aggregation techniques to ensure products are compliant and non-identifiable.
- Collaborate with external researchers/clients to refine product requirements and validate desired outcomes.
Experience
- Mastery of large-scale SQL data environments (e.g. Snowflake) with an emphasis on optimizing complex queries across billions of behavioral records.
- Proficiency in Python with a focus on feature engineering, predictive modeling, and time-series analysis.
- Deep understanding of financial markets, including experience with backtesting frameworks.
- Experience building scalable data pipelines and deploying models within a CI/CD workflow.
Education
- Bachelor’s degree in statistics, data science, math, or a related field.
- Master’s degree preferred.
Professional Experience
- 5+ years in Data Science with a proven track record of transforming data from raw database tables into "ready-for-sale" products.
- Direct experience working with Alternative Data providers or within a quantitative finance environment.
- Experience defining the value proposition of proposed products, including the ability to demonstrate how customers would use these products to enhance decision making.
The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.
$141,700.00 - $247,700.00
Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.
