- Company Name
- Sagacity
- Job Title
- Data Scientist
- Job Description
-
Job Title: Data Scientist
Role Summary:
Data Scientist collaborates with Product Managers and Data Analysts to design, prototype, and launch data-driven products. The role translates business and customer needs into technical product requirements, builds scalable machine learning models, and delivers analytical insights and visualizations that drive commercial viability.
Expectations:
- Deliver clear, actionable data insights that support informed business decisions.
- Own rapid prototyping and proof‑of‑concept development to validate new product ideas.
- Work cross‑functionally to define data structures, feature sets, scoring methods, and delivery formats.
- Balance multiple projects, meet deadlines, and proactively manage risks.
- Exhibit strong communication, curiosity, and commercial awareness in telecom, banking, utilities, or data‑consultancy contexts.
Key Responsibilities:
- Identify and define new data product opportunities using advanced analytics, ML, and large‑scale data processing.
- Evaluate emerging AI technologies for suitability within the Customer Intelligence Platform.
- Translate business/customer needs into technical product specifications and delivery plans.
- Lead rapid prototyping and proof‑of‑concept development using Databricks notebooks and ML techniques.
- Own technical product definition, including data structures, feature sets, scoring methodologies, model architectures, and delivery formats.
- Define and monitor technical success metrics (data coverage, refresh latency, model stability) alongside commercial KPIs.
- Support product launch with internal enablement materials for sales and client‑facing teams.
- Drive continuous product optimization using usage analytics, customer feedback, and platform performance insights.
Required Skills:
- 1–3 years of analytics or data science experience.
- Practical knowledge of Delta Lake, versioned datasets, data pipelines, orchestration, and scheduling.
- Proficient in Python and/or SQL for querying, data manipulation, and model validation.
- Experience designing data products from large‑scale transactional, behavioral, or marketing datasets.
- Understanding of data modeling concepts (fact/dimension models, feature engineering, aggregations).
- Ability to manage multiple projects, plan backward from deadlines, and identify risks.
- Strong written and verbal communication, influence, and collaboration skills.
- Commercial experience in telecom, banking, utilities, or data‑consultancy sectors (beneficial).
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field (minimum). Advanced degrees or related certifications (e.g., Spark, Hadoop, MLOps) are advantageous.