HR Data Science Analyst II

Bristol Myers Squibb

2 - 5 years

10 - 11 Lacs

hyderabad

Posted:3 hours ago| Platform:

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Skills Required

computer science data analysis analytical machine learning clinical trials hypothesis testing data privacy forecasting sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Hands-on HR Data Scientist that will be expected to ideate, design, develop, model and deploy advanced solutions
Collaborate with stakeholders to define project objectives, formulate data-driven hypotheses and identify KPIs for analysis
Gather, pre-process and explore large-scale structured and unstructured data from diverse sources, including clinical trials, patient records and genetic data
Apply advanced statistical analysis, machine learning algorithms and predictive modelling techniques to extract insights and develop models that drive actionable recommendations
Conduct exploratory data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problems
Develop and implement predictive models (e. g. , regression, clustering, time series forecasting) to solve complex business challenges
Collaborate with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modeling
Communicate complex analytical findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports and presentations
Stay up-to-date with the latest methodologies and best practices in statistical analysis, machine learning, and the HR Industry
Mentor and provide guidance to junior data scientists and actively participate in knowledge sharing and team development

Skills and competencies

Experience with building and deploying data science and data engineering solutions using established industry methods (MLOps, Git) to Complex datasets is preferred
Proficiency in programming languages such as Python and SQL
Familiarity with data visualization tools such as Tableau or Power BI for effective communication of findings
Strong understanding of experimental design, hypothesis testing and A/B testing methodologies
Excellent problem-solving skills and the ability to think critically and creatively to tackle complex business challenges
Excellent communication and presentation skills to convey complex concepts to technical and non-technical stakeholders
Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment

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