Career Areas Career Stories Join Talent Community Candidate Login English English Italiano Español Français Português Norsk Deutsch 日本語 Bahasa melayu 中文 (简体) 中文 (繁體) 한국어 ภาษาไทย Nederlands Polski Yкраїнська Hrvatski Ελληνικά Magyar čeština Türkçe Pусский Haitian עברית Brazilian Português Dansk Suomi Svenska Français (Canada) Português (Portugal) Careers Home Life at BMS Career Areas Student Opportunities Events How We Recruit Career Stories Search this site Join Talent Community Candidate Login English English Italiano Español Français Português Norsk Deutsch 日本語 Bahasa melayu 中文 (简体) 中文 (繁體) 한국어 ภาษาไทย Nederlands Polski Yкраїнська Hrvatski Ελληνικά Magyar čeština Türkçe Pусский Haitian עברית Brazilian Português Dansk Suomi Svenska Français (Canada) Português (Portugal) Single PositionView All JobsAnalytics Engineer IIHyderabad - TS - IN No longer accepting applications.Job IDR1600886Date posted03/29/2026DepartmentNot ApplicableSummary: The Analytics Engineer position is a specialized role within BIA Hyderabad. They will focus on applying advanced statistical and machine learning techniques to extractinsights from complex data sets and drive data-driven decision-making processes. The analytics engineer will collaborate with cross-functional teams, conduct in-depth analysis,develop predictive models, and provide actionable recommendations to enhance business performance and drive innovation.Roles & ResponsibilitiesHands-on design, deployment, operations, maintenance of pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability.Develop and maintain cutting-edge tools and frameworks empowering data scientists to work efficiently and effectively.Develop a close working relationship with data science teams to facilitate and implement best practices relating to machine learning engineering, data engineering, and MLOps.Collaborate with stakeholders to define project objectives, formulate data-driven hypotheses and identify KPIs for analysisGather, pre-process and explore large-scale structured and unstructured data from diverse sources, including clinical trials, patient records and genetic dataConduct exploratory data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problemsDevelop and implement predictive models (e.g., regression, clustering, time series forecasting) to solve complex business challengesCollaborate with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modelingCommunicate complex analytical findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports and presentationsStay up-to-date with the latest methodologies and best practices in statistical analysis, machine learning, and the biopharma industryMentor and provide guidance to junior data scientists and actively participate in knowledge sharing and team development initiativesSkills and competenciesExperience with building and deploying data science and data engineering solutions using established industry methods (MLOps, Git) topharmaceutical related datasets is preferred Proficiency in Databricks and AWSProficiency in programming languages such as Python or R for data manipulation, analysis and modelingFamiliarity with data visualization tools such as Tableau, Power BI or matplotlib/seaborn for effective communication of findingsStrong understanding of experimental design, hypothesis testing and A/B testing methodologiesExcellent problem-solving skills and the ability to think critically and creatively to tackle complex business challengesExcellent communication and presentation skills to convey complex concepts to technical and non-technical stakeholdersExperience with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is a plusStrong organizational and time management skills, with...
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