Data Scientist III

RESPONSIBILITIES:
A client with Kforce is seeking a Data Scientist III to join their team in San Diego, CA.

Duties:
* Data Scientist III will perform 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
* Designing user-friendly, automated dashboards for marketing stakeholders
* Translating raw numbers into clear insights and recommendations
* As a Data Scientist III, you will ensure accuracy, consistency, and compliance with data standards
* Defining and maintaining standardized marketing metrics and reporting structures
* Explaining complex data findings to non-technical stakeholders
* Partnering with marketing, finance, and data engineering teams
* Identifying root causes of performance issues and recommending optimizations

REQUIREMENTS:
* Bachelor's degree in Business Analytics, Marketing Analytics, Statistics, Computer Science, Economics, or a related quantitative field
* Master's degree in Data Analytics, Business Intelligence, or Marketing Analytics is a plus
* SQL proficiency: Writing complex queries to extract, join, and transform data from relational databases
* Data visualization tools: Expertise in tools like Qlik Sense for building dashboards and reports
* ETL knowledge: Familiarity with data pipelines and tools (e.g., Superglue, Alteryx, Informatica, dbt, Airflow)
* Statistical analysis: Understanding of statistical methods, A/B testing, regression analysis, and forecasting
* Scripting languages: Python or R for deeper data analysis and automation (nice-to-have)
* Digital marketing metrics: Understanding of KPIs such as CTR, CPC, ROAS, LTV, conversion rates, and funnel analysis
* Channel expertise: Familiarity with key digital marketing channels, including SEO, social media, email marketing, and affiliate programs
* Attribution modeling: Knowledge of multi-touch attribution and marketing mix modeling
* Attention to detail: Ensuring accuracy and reliability of reports
* Curiosity & business acumen: Proactively identifying trends and opportunities in the data
* Campaign performance measurement: Ability to track and evaluate campaign effectiveness across different channels

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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