Data Scientist, New Grad & Entry Level Job at Jobright.ai, San Francisco, CA

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  • Jobright.ai
  • San Francisco, CA

Job Description

About the Role:

We are seeking a highly analytical and results-driven Data Scientist to join our growing analytics team in the financial services sector. You will play a key role in building predictive models, optimizing financial decisions, and extracting insights that drive product development, risk mitigation, and customer strategy. This role requires a strong foundation in statistics, machine learning, and financial domain knowledge. This position is based in our San Francisco office in a hybrid capacity, specifically on Tuesdays, Wednesdays, and Thursdays.

What You’ll Do:

  • Build and deploy statistical models and machine learning algorithms to solve business problems in areas like credit risk, fraud detection, pricing, customer segmentation, and marketing attribution.
  • Validate models to identify factors that may affect model performance.
  • Analyze large, structured and unstructured datasets using SQL, Python or similar tools.
  • Stay up to date with the latest trends and technologies in data science and fintech, actively research new tools and techniques available for model development.
  • Collaborate with cross-functional teams including risk, marketing, product, and engineering to define data-driven strategies.

What We Look For:

  • Advanced Degree (MS/PhD) in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related quantitative discipline.
  • 0-2 years of hands-on experience in a data science or analytics role, preferably in financial services.
  • Experience and/or strong interest in the latest machine learning techniques (Random Forest, Gradient Boosted Trees, etc.) strongly preferred.
  • Strong proficiency in Python (Pandas, Numpy, Scikit-learn) and SQL.
  • Ability to write documentation and present analysis to people with different levels of expertise (e.g., technical staff, business leads, etc.).
  • Detail oriented and strong analytical skill set.
  • Proactive, driven, and ability to work in a fast paced environment.

Nice to Have:

  • Experience working with cloud platforms (AWS, GCP, or Azure).
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of big data technologies like Spark or Hadoop.
  • Understanding of financial services concepts such as credit scoring, portfolio risk, or customer lifetime value.

Job Tags

Work at office,

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