- Company Name
- Central Point Partners
- Job Title
- Data Scientist with Hands On development experience with R, SQL & Python
- Job Description
-
**Job title**
Senior Data Scientist – R, SQL & Python
**Role Summary**
Act as a data‑driven consultant on the Enterprise Analytics team, blending statistical analysis with software development. Collaborate with Product, Marketing, Finance, and Leadership to design, implement, and evaluate data features and experiments that drive customer experience improvements and revenue growth.
**Expectations**
- Deliver actionable insights through clear storytelling and visualizations.
- Maintain a balanced focus on analytical rigor and production‑ready code.
- Communicate effectively across technical and non‑technical stakeholders.
- Self‑direct initiatives (experiments, predictive models, new opportunities) when feature development cycles are complete.
**Key Responsibilities**
1. **Feature & Functional Design** – Define data tracking requirements (event logging, Adobe tagging, third‑party ingestion) to support business cases.
2. **Feature Engineering & Development** – Build and monitor data pipelines, ensure tracking is deployed correctly, and collaborate with QA and engineers during feature rollout.
3. **Roll‑out & Performance Evaluation** – Own A/B testing, impact analysis, and performance measurement against success criteria; provide independent assessments and recommendations.
4. **Cross‑functional Collaboration** – Work with Data Engineering, IT, and CDAO to onboard new data sources; consult on data strategy and governance.
5. **Self‑Driven Initiatives** – Design experiments, conduct exploratory analyses, and develop predictive models to uncover new business opportunities.
**Required Skills**
- Proficiency in Python and/or R for data analysis and modeling.
- Advanced SQL (data extraction, transformation, and analysis).
- Experience with experiment design, A/B testing frameworks, and statistical validation.
- Strong data visualization and storytelling abilities (e.g., Tableau, Power BI, matplotlib, ggplot2).
- Familiarity with event tracking systems (e.g., Adobe Analytics), tagging, and third‑party data ingestion.
- Good coding practices (version control, documentation, unit tests).
- Excellent communication, presentation, and stakeholder‑management skills.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Statistics, Data Science, or related field (Master’s preferred).
- Certifications in data science, analytics, or related technologies are a plus (e.g., Microsoft Certified: Data Analyst, Google Professional Data Engineer).