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Data Engineer & Data ScientistDiverse Lynx • United States
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Data Engineer & Data Scientist

Diverse Lynx
  • US
    United States
  • US
    United States
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Über

Data Scientist
Towards ML algorithms with Python experience. Key Responsibilities: Data Science & Analytics: Have familiarity with designing, developing and deploying statistical models, machine learning algorithms Have hands on experience in conducting exploratory data analysis to surface insights Have familiarity with building an maintaining forecasting models Translate complex analytical outputs in clear, actionable recommendations for business audience Required Skills: 5+ years of experience across data science, data engineering, or analytics — with experience in privacy, compliance domain Strong proficiency in SQL and Python (pandas, scikit-learn, stats models, or similar) Familiarity with causal inference methods and experiment design Familiarity with building and maintaining data pipelines (Airflow, dbt, Spark, or similar) Experience with data governance practices — data quality, metadata management, or data stewardship Ability to communicate complex findings clearly to non-technical stakeholders Data Engineer
Towards reporting/creating business intelligence report with Python exp. Minimum Qualification: Data engineering and BI experience using databases like Oracle, Postgres, Snowflake Experience with Kafka and Redis Programming experience in building high-quality software with Python Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications Preferred Qualification: Cloud technology experience on platforms like AWS, Google Cloud Data Visualization Tools: experience in software such as Tableau, Business Objects Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs Usage of basic ML models in the space of anomaly detection, forecasting, GenAI 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.
  • United States

Sprachkenntnisse

  • English
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