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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Data Scientist - **Company:** Aditi Consulting - **Location:** Thousand Oaks, United States - **Salary:** $99,840.0 - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Database, Continuous Integration, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Mining, Database Queries, DevOps, Python (Programming Language), Machine Learning, Power BI, Cloud Services, Azure Machine Learning, SQL Databases, Tableau (Software), Unstructured Data, Visual Analytics, Data Processing, Google Cloud, Cloud Platform System, Test-Driven Development (TDD), Information Technology, Data Lineage, Data Analytics, Performance Monitor, Data Management, Software Coding, Software Version Control, Data Pipelines, Databricks - **Published:** September 29, 2026 - **Apply:** https://www.dice.com/job-detail/4ca3594c-12ad-447e-8369-8c9e5e4755b5 ## About the Role * Master's degree and 2 years of relevant experience, or Bachelor's degree and 4 years of relevant experience, in Data Science, Computer Science, Engineering, Statistics, Operations Research, Business Analytics, or a related field. * Experience in pharmaceutical, biotechnology, life sciences, regulated manufacturing, or another complex operational environment. * Proficiency in Python for data processing, automation, analytics, and model development. * Strong SQL skills, including queries, joins, aggregations, data transformation, and working with large datasets. * Experience developing dashboards or visual analytics using Tableau, Power BI, or similar platforms. * Experience with cloud databases or cloud data platforms such as Databricks, AWS, Azure, Google Cloud, or similar technologies. * Experience with data engineering processes, including ETL/ELT pipelines, data modeling, data integration, data quality, orchestration, and version control. * Ability to work cross-functionally with business stakeholders and technical teams to translate business requirements into analytical solutions., * Knowledge of comprehensive data analytics and modeling methods, including unsupervised and supervised approaches, and their application to biotechnology processes. * Familiarity with large datasets, data mining, and machine learning tools. * Familiarity with artificial intelligence applications. * Strong analytical skills with attention to detail and accuracy. * Independent, self-motivated, and organized with strong communication, facilitation, and collaboration skills. * Team player, prepared to work in and embrace a team-based culture that relies on collaboration for effective decision-making. * Familiarity with DevOps and good software practices, including version control, continuous integration, and test-driven development. ## Description The ideal candidate will be responsible for supporting artificial intelligence and data analytics efforts by building machine learning models and collaborating with stakeholders for their implementation and deployment. The role involves interacting cross-functionally with various teams to deliver scientific data-driven solutions that meet business needs., * Build machine learning models through the integration of multiple data sources. * Leverage large datasets to conduct end-to-end analytics, including data gathering, processing, analytics, and presentations. * Develop, maintain, and enhance data pipelines, curated datasets, analytical data products, and reporting layers using Python, SQL, and cloud-based data platforms. * Build dashboards and visual analytics to monitor performance, manufacturing status, inventory, supply risk, supplier performance, procurement activity, and operational trends. * Apply statistical and analytical methods to identify patterns, generate insights, and improve business decision-making. * Partner with stakeholders to gather requirements, clarify business problems, and deliver analytical solutions. * Integrate and analyze structured and unstructured data from various enterprise systems. * Automate recurring reports and data preparation activities to improve efficiency and accessibility. * Support the design and implementation of scalable data models and architecture. * Ensure data governance, quality, documentation, validation, and data lineage practices. * Communicate findings, recommendations, and insights clearly to both technical and non-technical audiences. * Follow best practices for code development, dashboard design, data management, and solution sustainability. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)