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About
Data Scientist
Key Responsibilities:
Data Science & Analytics:
Have familiarity with designing, developing and deploying statistical models, machine learning algorithms, and analytical framework to support channel business decisions Have hands on experience in conducting exploratory data analysis to surface insights on sales performance, inventory Have familiarity with building an maintaining forecasting models Translate complex analytical outputs in clear, actionable recommendations for business audience
Data Governance & Metric Definition:
Serve as the data steward for key data domains owning definitions, lineage and quality standards Develop an maintain data dictionaries, business glossaries and lineage documentation Define and monitor data quality riles, triage and resolve data issues in partnership with engineering Ensure AI outputs and agent generated content are traceable back to governed, trusted data sources Design, build and deploy AI agents that automate recurring analytical workflow in data governance
What You ll bring
Required
6+ years of experience across data science, data engineering, or
6+ analytics
with at least 2 years in a retail or consumer goods
6+ environment
Strong proficiency in SQL and Python (pandas, scikit-learn, statsmodels, or similar) Familiarity with causal inference methods and experiment design Familiarity with
building and maintaining data pipelines (Airflow, dbt, Spark, or similar) Practical experience building or deploying AI agents or LLM-powered applications Familiarity with knowledge graph technologies (RDF, property graphs, Neo4j) Experience with data governance practices
data quality, metadata management, or data stewardship Ability to communicate complex findings clearly to non-technical stakeholders"
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Languages
- English
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