Bristol Myers Squibb is hiring for a fresher entry level Data Scientist I role in India

Position:

• Data Scientist I

Company:

• Bristol Myers Squibb (BMS)

Location:

• Hyderabad, Telangana, India

Job type:

• Full-time

Job mode:

• Site-by-design (eligible for hybrid work, with at least 50% onsite presence at the assigned facility)

Job requisition id:

• Not specified in original JD

Years of experience:

• 0 to 3 years

---

Company description

• Bristol Myers Squibb (BMS) is a global biopharmaceutical leader dedicated to transforming patients’ lives through science.

• The company focuses on developing innovative therapies for serious diseases in areas such as oncology, hematology, immunology, cardiovascular disease, and fibrosis.

• BMS employs thousands of people worldwide, with a diverse and inclusive workforce that fosters collaboration and growth.

• Employees are encouraged to contribute their unique perspectives and expertise to deliver better outcomes for patients.

• The company invests in advanced research, translational medicine, and data analytics to ensure the right medicine reaches the right patient at the right time.

• BMS values passion, innovation, urgency, accountability, inclusion, and integrity, and these values guide all decision-making processes.

• Through the Bristol Myers Squibb Foundation, the company promotes health equity and works to improve outcomes for populations disproportionately affected by severe diseases.

• BMS offers a culture of support, professional development, and unique opportunities to work on projects with a significant impact on global healthcare.

---

Profile overview

• The Data Scientist I role supports analytics initiatives within Global Product & Supply (GPS).

• The position is designed for individuals eager to work across the analytics value chain, from data preparation to building advanced analytical models.

• Responsibilities focus on addressing pressing operational needs while contributing to innovative solutions like predictive modeling, simulation, and optimization.

• Collaboration is a key component of the role, involving close coordination with IT teams, business stakeholders, and cross-functional experts.

• The role requires translating complex data into meaningful insights to improve decision-making and operational efficiency.

• You will be expected to work with large datasets and advanced analytics tools while following industry best practices.

• Deliverables include dashboards, reports, models, and presentations that are understandable and actionable for non-technical audiences.

• The role has a global reach, supporting initiatives that directly or indirectly impact patients worldwide.

---

Qualifications

• Bachelor’s or Master’s degree in analytical, engineering, operations research, or scientific fields.

• 0 to 3 years of professional experience in data science, analytics, or related roles.

• Proficiency in programming languages such as Python and SQL.

• Experience with data visualization tools such as Tableau.

• Familiarity with cloud platforms, preferably AWS.

• Knowledge of machine learning techniques, including classification, regression, and time-series forecasting.

• Understanding of MLOps principles and related tools like MLflow or Kubeflow is advantageous.

• Strong problem-solving and critical-thinking skills with the ability to align analytics with business objectives.

• Effective communication skills to present technical findings in a clear, actionable manner to non-technical audiences.

• Ability to work collaboratively in a hybrid work environment, ensuring overlap with US east coast working hours.

---

Additional info

• The role requires adherence to BMS's site-by-design protocol, which combines remote work with mandatory onsite presence for collaboration and innovation.

• Onsite presence is essential for building team culture, enhancing productivity, and fostering innovation.

• BMS supports employees with competitive benefits, resources for work-life balance, and a culture of recognition.

• Perks include generous paid time off, best-in-class health benefits, recognition platforms, and wellness programs.

• The company encourages applications even if candidates do not meet all requirements, recognizing potential and transferable skills.

• Diversity, equity, and inclusion are central to BMS, with efforts to ensure accessibility and reasonable workplace accommodations.

• Applicants may be asked to attend meetings or events in person, even if working remotely part of the time.

• The role is part of an organization committed to global health improvements and innovative solutions that address complex healthcare challenges.

---

Roles & Responsibilities

• Analyze and interpret complex datasets to provide actionable insights aligned with GPS priorities.

• Collaborate with stakeholders to understand business objectives, define KPIs, and design relevant analytics solutions.

• Develop and maintain data pipelines, ensuring accuracy, consistency, and scalability.

• Partner with IT to enhance data infrastructure, improving efficiency in data processing and analysis.

• Build predictive and prescriptive models to address business needs, applying advanced machine learning techniques.

• Prepare clear and concise reports, dashboards, and presentations for a range of audiences.

• Follow best practices in analytics delivery, including code version control, pipeline automation, deployment, and documentation.

• Ensure effective time management to overlap with US east coast working hours for collaboration.

• Continuously explore new analytical methods and technologies to improve processes and outcomes.

• Support operationalizing analytical solutions so they can be effectively used by business teams.

• Maintain high standards of data governance, ensuring privacy, compliance, and security requirements are met.

---

Skills & Competencies

• Advanced skills in Python and SQL for data manipulation and analysis.

• Ability to work with large, complex datasets from multiple sources.

• Experience in statistical analysis and machine learning algorithms.

• Proficiency in visualization tools like Tableau to communicate insights effectively.

• Understanding of predictive analytics, optimization, and simulation modeling.

• Knowledge of MLOps concepts and tools for model deployment and monitoring.

• Strong interpersonal skills for effective stakeholder engagement.

• Ability to translate data-driven findings into strategic recommendations.

• Business acumen to ensure analytics projects align with operational goals.

• Capacity to learn quickly and adapt to evolving business needs and technologies.

Please click here to apply.