Data Scientist

2 months ago

Hyderabad Telangana, India Amgen Full time

**Join Amgen’s Mission of Serving Patients**:
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease
- we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

**What you will do**:
Let’s do this. Let’s change the world. In this vital role you will serve a critical function within Organizational, Planning, Analytics & Insights with a goal of enterprise-wide, long-term workforce transformation by connecting people, financial, procurement & capability data to enable business insights & decisions. The Data Scientist will collaborate with the Tech and Data lead for OPA&I and will be responsible for identifying requirements and building data analytics solutions and visualizations for OPA&I.

**Roles & Responsibilities**:

- ** Understand, Connect & Integrate Data**: Develop and maintain robust methods to connect data from various sources including HR, Finance, Procurement, and Activities. Ensure seamless integration and synchronization between systems and databases. Implement strategies and tools to efficiently manage and process structured and unstructured data. Establish and enforce data validation procedures to ensure data accuracy and consistency.
- ** Deliver Data Insights**: Develop and implement interactive dashboards and visualizations to provide key collaborators with easy access to workforce and financial planning insights. Collaborate multi-functional teams to understand their data needs and tailor visual solutions accordingly. Utilize advanced analytics, models, and GenAI solutions to uncover trends, patterns, and actionable insights. Present data findings in a clear and compelling manner that enhances decision-making.
- ** Integrate Business Processes with Data Systems Holistically**:Develop and deploy solutions that seamlessly support business workflows with data infrastructure. Consistently pursue enhancements to boost efficiency and alignment using data-driven approaches. Partner with business key collaborators to advise on comprehensive solutions. Oversee projects aimed at improving data quality and operational performance within business processes. Guarantee alignment to data standards and maintain data integrity across all business systems.

**What we expect of you**:
We are all different, yet we all use our unique contributions to serve patients.

**Basic Qualifications**:

- Master’s degree and 1 to 3 years of computer science or quantitative field experience OR
- Bachelor’s degree and 3 to 5 years of computer science or quantitative field experience OR
- Diploma and 7 to 9 years of computer science or quantitative field experience

**Preferred Qualifications**:
**Must-Have Skills**:

- Development experience with Databricks (or Snowflake), including cluster setup, execution, and tuning. Experience with other ETL tools like Alteryx is also acceptable.
- Experience in building ETL or ELT pipelines; Hands-on experience with SQL/NoSQL
- Experience with one or more programming languages, Python, R, SAS, Scala, or Java.
- Experience with common data processing libraries: Pandas, PySpark, SQL-Alchemy.
- Experience building dashboards and end-user interfaces using visualization tools such as Power BI, Tableau and Spotfire
- Experience working with key collaborators to define requirements and design data solutions
- Experience building data analytics and business intelligence solutions with financial and workforce data
- Experience performing exploratory and targeted data analyses using descriptive statistics and other methods.

**Good-to-Have Skills**:

- Experience with NLP or GenAI tools like OpenAI.
- Experience with software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing
- Conceptual understanding of DevOps tools (Ansible/ Gitlab CI/CD / GitHub / Docker /Jenkins)
- Experience working in Agile-based teams
- Experience with R/Python-based visualization frameworks such as Shiny, Dash, Streamlit

**Professional Certifications**:

- Databricks (preferred)
- Tableau/Power BI/Alteryx (preferred)

**Soft Skills**:

- Excellent analytical and problem solving skills
- Strong verbal and written communication skills
- Ability to wo

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