- Company Name
- SEIDOR
- Job Title
- Senior Data Scientist
- Job Description
-
Job title: Senior Data Scientist
Role Summary:
Lead data exploration, modeling, and visualization to derive actionable insights that drive business decisions. Manage end‑to‑end data pipelines, integrate structured and unstructured sources, and implement advanced analytics & AI solutions across the organization.
Expectations:
* Deliver high‑quality, reproducible analytics outcomes that influence strategy and operational improvements.
* Maintain data integrity, security, and compliance with regulatory and ethical standards.
* Communicate findings clearly to technical and non‑technical stakeholders, translating complex patterns into concise, actionable recommendations.
* Mentor junior team members and foster a collaborative, innovation‑driven culture.
Key Responsibilities:
1. **Data Acquisition & Integration** – Collect, cleanse, merge, and validate internal and external datasets; ensure consistency and reliability of integrated data stores.
2. **Modeling & Hypothesis Testing** – Design, build, and evaluate machine learning and statistical models (scikit‑learn, ELKI, BIGSQL) to optimize decision‑making.
3. **Visualization & Insight Delivery** – Create compelling dashboards and reports using Power BI, Cognos, or equivalent tools; translate analytical results into clear business insights.
4. **Big Data & AI Enablement** – Provide technical lead for big‑data infrastructure, propose high‑impact quick‑win solutions, and explore AI tools for predictive analytics.
5. **Governance & Compliance** – Implement data protection, security, and ethical frameworks; align analytics initiatives with regulatory requirements and organizational priorities.
6. **Stakeholder Support** – Define, monitor, and report on KPIs; support business units in interpreting analytics outputs and refining performance metrics.
Required Skills:
* Strong expertise in mathematical modeling, statistical analysis, and hypothesis testing.
* Proficient with BI and visualization platforms (Power BI, Cognos).
* Advanced programming in Python (scikit‑learn, ELKI) and SQL (BIGSQL).
* Experience with IBM Cloud Pack for Data and big‑data ecosystems.
* Knowledge of Cognos administration and usage.
* Proven ability to translate data insights into strategic actions.
* Excellent communication, presentation, and stakeholder‑management skills.
Required Education & Certifications:
* Master’s degree (or equivalent) in Computer Science, Statistics, Data Science, Engineering, or related field.
* Minimum 3 years of professional data science or advanced analytics experience.
* Certifications such as IBM Certified Data Engineer – Cloud Pak for Data, Microsoft Certified: Data Analyst Associate, or similar are advantageous.