Data Science Analyst I at Bristol-Myers Squibb

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Entry Level & New Grad, Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Pharmaceuticals, Biotechnology, HealthcareIndustries

Requirements

Bachelor’s or master’s degree in data science, Statistics, Computer Science, or a related discipline
1 to 3 years of experience in a data science role, preferably with exposure to risk analytics and anomaly detection
Prior experience working on risk models
Background in statistical analysis, machine learning, and predictive modelling techniques
Experience with data querying languages (e.g., SQL) and scripting languages (e.g., Python)
Proficiency in programming languages such as Python and SQL
Familiarity with data visualization tools such as Tableau or Power BI
Strong technical proficiency and analytical thinking with knowledge of statistical analysis and anomaly detection techniques
Understanding of experimental design, hypothesis testing, and A/B testing methodologies
Experience with building and deploying data science and data engineering solutions using industry-standard methods (e.g., MLOps, Git)
Ability to handle and maintain the confidentiality of sensitive information
Experience initiating and completing data science projects with minimal guidance
Strong problem-solving skills and practical experience with statistical modelling and machine learning techniques
Experience in handling and analyzing large-scale structured and unstructured data sets
Excellent communication and presentation skills
Strong organizational and time management skills with the ability to prioritize tasks and meet deadlines

Responsibilities

Design, develop, and deploy data-driven solutions focused on risk analytics and anomaly detection
Collaborate with stakeholders to establish clear project objectives, develop data-driven hypotheses, and identify key performance indicators (KPIs)
Collect, preprocess, and analyze large-scale structured and unstructured data from a variety of sources
Apply statistical analysis, machine learning algorithms, and predictive modelling techniques to uncover insights and develop robust risk models
Perform exploratory data analysis (EDA) to identify patterns and anomalies within data and propose data-driven solutions
Design and deploy predictive models—including regression, clustering, and time series forecasting—to address risk-related challenges
Work with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modelling
Communicate analytical findings and insights to both technical and non-technical stakeholders through visualizations, reports, and presentations
Stay current with methodologies and best practices in statistical analysis, machine learning, and risk analytics
Support the integrity and availability of risk-related data to drive informed decision-making

Skills

risk analytics

anomaly detection

statistical analysis

machine learning

predictive modelling

regression

clustering

time series forecasting

exploratory data analysis

data preprocessing

data visualization

Bristol-Myers Squibb

Develops and delivers biopharmaceutical medicines

About Bristol-Myers Squibb

Bristol Myers Squibb (BMS) develops and delivers medicines aimed at treating serious diseases, focusing on areas like cancer, autoimmune diseases, and heart conditions. The company conducts extensive research and development to create new drugs, which are sold after receiving regulatory approval. BMS also produces generic drugs, offering affordable alternatives that meet the same quality standards as their branded counterparts. What sets BMS apart from competitors is its dual focus on both innovative and generic medicines, enhancing access to healthcare. The company's goal is to improve patient outcomes while maintaining a commitment to sustainability and corporate responsibility.

New York City, New YorkHeadquarters

1887Year Founded

$33,706.1MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

10,001+Employees

Benefits

Flexible Work Hours

Hybrid Work Options

Professional Development Budget

Risks

Increased competition in oncology from emerging biotech firms like ArsenalBio.

BMS's lawsuit over the 340B Drug Pricing Program may lead to regulatory challenges.

Rapid AI and digital tech evolution may pose integration challenges for BMS.

Differentiation

BMS focuses on innovative cancer treatments through collaborations like ArsenalBio for T cell therapies.

The company emphasizes digital health technologies, enhancing clinical trial management and patient engagement.

BMS offers both innovative and generic medicines, increasing affordable healthcare solutions.

Upsides

BMS's partnership with Medidata enhances clinical research processes and patient outcomes.

The collaboration with AI Proteins advances novel miniprotein-based therapeutics, expanding therapeutic modalities.

BMS's global license agreement with BioArctic expands its portfolio in neurodegenerative diseases.

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