Demo

Sr Data Scientist

E-Solutions
Mountain View, CA Contractor
POSTED ON 4/17/2025
AVAILABLE BEFORE 5/16/2025

Role : Sr Data Scientist

Location : Mountain View CA (onsite)

• Technical Skills:

o ○ Advanced SQL skills and proficiency in visualization tools such as Qlik, Tableau, Plotly Dash

o ○ Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.)

o ○ Familiarity with Linux/OS X command line, version control software (git), and general software development

• BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related eld; equivalent experience will be considered

• 7 years of experience in data science or product analytics, preferably in fintech, with a strong foundation in predictive modeling, customer segmentation, and experimentation

• Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit

• Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors. Experience in the fintech or SMB space is highly preferred.

• The ability to go deep on complex and vague requirements and get business moving recommendations from the data.

• Experience in designing and interpreting complex experiments beyond traditional A/B testing methods, such as inference testing

• Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work

• Outstanding communication skills with the ability to influence decision makers and build consensus with teams

• Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment

• Experience using statistics and machine learning techniques to solve complex business problems within go-to-market and marketing areas, e.g., propensity for feature adoption, customer health scoring to identify customers at risk to cancel, next best action models etc.

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