Data Scientist II
About the role
Responsibilities
A client with Kforce is seeking a Data Scientist II to join their team in San Diego, CA. Duties:
Performs business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining
Determines best practices and develops actionable insights and recommendations for the current business operations
Works directly with the internal or external client to identify analytical requirements
May help to produce ad hoc data and reports
May assist in implementing or developing systems to capture business operation information
May occasionally guide less experienced business data analysts
Requirements
BS or MS degree in Statistics, Mathematics, Computer Science, or a related field
5+ years of experience in data science or product analytics (preferably in fintech), with a strong foundation in predictive modeling, customer segmentation, and experimentation
Experience in designing and interpreting complex experiments beyond traditional A/B testing methods
Experience with Causal inference techniques such as propensity score matching, difference-in-differences, and synthetic control methods
Experience with Generative AI and other evolving technologies to accelerate insights from multi-modal data
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
Advanced SQL skills and proficiency in visualization tools such as Qlik, Quicksight, Tableau, Plotly Dash
Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like NumPy, Pandas, Scikit-learn, etc.)
Ability to formulate data-backed strategies that will drive step-function growth for the business and increase customer benefit
Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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Responsibilities
- Performs business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining
- Determines best practices and develops actionable insights and recommendations for the current business operations
- Works directly with the internal or external client to identify analytical requirements
- May help to produce ad hoc data and reports
- May assist in implementing or developing systems to capture business operation information
- May occasionally guide less experienced business data analysts
Qualifications
- BS or MS degree in Statistics, Mathematics, Computer Science, or a related field
- 5+ years of experience in data science or product analytics (preferably in fintech)
- Strong foundation in predictive modeling, customer segmentation, and experimentation
- Experience in designing and interpreting complex experiments beyond traditional A/B testing methods
- Experience with Causal inference techniques such as propensity score matching, difference-in-differences, and synthetic control methods
- Experience with Generative AI and other evolving technologies to accelerate insights from multi-modal data
- Outstanding communication skills with the ability to influence decision-makers and build consensus with teams
- Advanced SQL skills and proficiency in visualization tools such as Qlik, Quicksight, Tableau, Plotly Dash
Benefits
- Comprehensive medical/dental/vision insurance
- HSA and FSA options
- 401(k) plan
- Life, disability & ADD insurance
- Paid time off for salaried personnel
Skills mentioned
About Kforce Inc
Kforce is a solutions firm specializing in technology, finance and accounting, and professional staffing services. Our KNOWLEDGEforce® empowers industry-leading companies to achieve their digital transformation goals. We curate teams of technical experts who deliver solutions custom-tailored to each client’s needs. These scalable, flexible outcomes are shaped by deep market knowledge, thought leadership and our multi-industry expertise. Our integrated approach is rooted in 60 years of proven success deploying highly skilled professionals on a temporary and direct-hire basis. Each year, approximately 18,000 talented experts work with the Fortune 500 and other leading companies. Together, we deliver Great Results Through Strategic Partnership and Knowledge Sharing®