Data Scientist III, Development Operations T500-11858

1 week ago

Hyderabad, Telangana, India Bristol Myers Squibb Full time

BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions.

This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation.

Data Scientist III, Development Operations

Summary:

We are seeking an experienced individual to join an exceptional team that creates advanced analytical solutions to support Development Operation at Bristol Myers Squibb.

This position will provide hands-on data science and machine learning engineering support and leadership for an end-to-end ecosystem of solutions for in-line / pipeline, short- / long-term.

Specifically, this role will code, validate and test machine learning and/or simulation models, and develop analytics apps to allow users to interact with these models.


Roles & Responsibilities:

Conduct and lead analysis and interpretation of complex data sets to derive meaningful insights and recommendations that enhance drug development processDevelop robust and scalable machine learning (ML) or simulation models.

Extract insights from epidemiology, real world data, market research and other sources to support drug developments and clinical trial forecasting models.

Stay informed about advancements in pharma forecasting methodologies and tools.
Continuously monitor and evaluate the performance of forecasting models, including validation of ML models.

Prepare reports, dashboards and presentations to communicate findings, insights and recommendations to stakeholdersCollaborate with US & Hyderabad based Business Insights & Analytics partners to identify business problems and create/conduct analytic plans to address those questionsSupport opportunities to enhance the business impact of predictive models, such as performance, quality and efficiency.

Work across matrix teams to develop and enhance data infrastructure, data pipelines and analytical tools for efficient data collection, processing and analysisDocument solution specifications (e.g., architecture, data flows, algorithms) to ensure transparency / reproducibility.


Skills & Competencies:
Strong analytical thinking and problem-solving skills with the ability to analyze complex data sets and draw meaningful conclusions.

Proficiency in statistical analysis machine learning, and data modelingAdvanced NLP techniques and deep learning methodologiesStrong communication skills with the ability to present complex information to non-technical stakeholders in a clear manner.

Strong business acumen and strategic thinking, with the ability to translate analytical findings into actionable insights and recommendations.

Experience:
Bachelor's or master's degree in Computer Science, Engineering, Applied Math, Bio Informatics, Operations Research or equivalent working experience in a highly analytical field5-7 years experience working as a Data Scientist or similar role, preferably focusing on pharma revenue forecastingEffective communication and collaboration skillsDemonstrated ability to manage multiple projects simultaneously and deliver high-quality results within specified deadlinesPreferably, experience advanced analytics techniques such as imputation, ML engineering, hyper parameter tuning, MLOPs as well as off-the-shelf solutionsExperience in data processing and visualization tools, and statistical software packages (e.g., SQL, R, Python, Tableau)Deep interest in the drug development process, and preferably, experience with pharmaceutical industry analytics including data sources, market research, R&D data, or real-world data#GBOHYD #LI-Hybrid

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