Data Engineer & Data Scientist

Tittle: Data Engineer & Data ScientistLocation: SF Bay Area or Austin, TX(Onsite)Mode: Contract ( W2 role)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 insightsHave familiarity with building an maintaining forecasting modelsTranslate complex analytical outputs in clear, actionable recommendations for business audienceRequired Skills5+ years of experience across data science, data engineering, or analytics — with experience in privacy, compliance domainStrong proficiency in SQL and Python (pandas, scikit-learn, stats models, or similar)Familiarity with causal inference methods and experiment designFamiliarity with building and maintaining data pipelines (Airflow, dbt, Spark, or similar)Experience with data governance practices — data quality, metadata management, or data stewardshipAbility to communicate complex findings clearly to non-technical stakeholdersData Engineer : towards reporting/creating business intelligence report with Python exp.Minimum QualificationData engineering and BI experience using databases like Oracle, Postgres, SnowflakeExperience with Kafka and RedisProgramming experience in building high-quality software with PythonExperience in developing highly optimized SQLs, procedures & semantic process for distributed data applications.Preferred QualificationCloud technology experience on platforms like AWS, Google CloudData Visualization Tools: experience in software such as Tableau, Business ObjectsData 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.