Senior Analytics Engineer
Role details
Job location
Tech stack
Job description
Design and build scalable data pipelines using python, SQL and cloud-based tools (Azure, AWS) Develop and maintain analytics models and data transformation using dbt, airflow and data warehouses (ex: Snowflake, BigQuery) Build and manage dashboards and data visualizations using web-based tools, Tableau, Power BI Ensure data quality, governance and security compliance across engineering workflows Responsible for ingestion, integration and delivery of data products and insights across multiple platforms applying and maintaining data integrity and governance rules Knowledge of deep learning methods for NLP (quantitative area of study, Comp Science preferred) Support adhoc analytics initiatives for clinical trials, commercial ops and digital health systems Utilizes supervised or unsupervised methods, learning from vast amounts of unlabeled data to drive insight Experience working with unstructured text Develop high quality analytical and statistical models, insights, patterns, visualizations, that can be used to improve decision making in manufacturing operations Responsible for documentation of all technical work both within and outside of formal document management systems
Requirements
5+ Yrs of experience in data engineering, analytics or applied machine learning Strong python and SQL Skills, experience in ETL Orchestration tools (Airflow, Prefect. Domino) ability to manipulate and analyze complex datasets. Proficiency in modern data stack (dbt, snowflake/Big Query, version control, CI/CD pipelines) Experience and familiarity in DataOps/MLOps frameworks, AI/LLM tooling such as OpenAI ,Langchain, Hugging face Transformers Strong communication and stakeholder engagement skills Experience in regulated industry (Pharma, biotech or life sciences) is highly preferred Solid grasp of data science fundamentals: causal inference, regression, classification, experimental design
Benefits & conditions
Innova Solutions offers benefits( based on eligibility) that include the following: Medical & pharmacy coverage, Dental/vision insurance, 401(k), Health saving account (HSA) and Flexible spending account (FSA), Life Insurance, Pet Insurance, Short term and Long term Disability, Accident & Critical illness coverage, Pre-paid legal & ID theft protection, Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP).
