Staff Data Scientist - Real-Time Personalization (Remote)
NerdWallet, Inc
San Francisco (CA)
On-site
USD 130,000 - 180,000
Full time
14 days+
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Benefits offered by this job
Flexible Vacation Time Off
Industry-leading health care plans
401K with company match
Paid sabbatical after 5 years
Wellness Stipend
Job summary
A financial technology company is looking for a Staff Data Scientist to lead causal inference and machine learning initiatives. The role is responsible for designing impactful personalization models and mentoring junior scientists. With 8+ years of experience in applied machine learning, the ideal candidate will have strong skills in Python, SQL, and data platforms like Snowflake. This position is fully remote, allowing flexibility to thrive in various work environments. Expect a well-rounded benefits package to support well-being and development.
Qualifications
8+ years of experience in applied machine learning and causal inference.
Deep expertise in causal inference methodologies.
Strong software engineering skills and production ML experience.
Responsibilities
Lead design and implementation of causal inference frameworks.
Build and scale LTV models for real-time decisioning.
Mentor junior and mid-level data scientists.
Skills
Applied machine learning
Causal inference
Statistical diagnostics
Communication skills
Software engineering
Tools
Python
PySpark
SQL
Snowflake
Databricks
Job description
A financial technology company is looking for a Staff Data Scientist to lead causal inference and machine learning initiatives. The role is responsible for designing impactful personalization models and mentoring junior scientists. With 8+ years of experience in applied machine learning, the ideal candidate will have strong skills in Python, SQL, and data platforms like Snowflake. This position is fully remote, allowing flexibility to thrive in various work environments. Expect a well-rounded benefits package to support well-being and development.