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Senior Associate Data Scientist Obesity
What you will do
The Senior Associate Data Scientist role within Commercial Data & Analytics (CD&A) is a handson analytics position supporting commercial strategy performance measurement and decisionmaking across Amgens portfolio. Based in Thousand Oaks this role applies advanced analytics statistical modeling and data science techniques to commercial business questions and partners closely with crossfunctional teams to deliver actionable insights.
This position is designed for an earlycareer data scientist who demonstrates strong execution technical rigor and the ability to translate analytical outputs into businessrelevant insights. The role does not have direct reports.
Commercial Analytics & Data Science
Develop maintain and enhance analytical and data science solutions to support commercial decisionmaking (e.g. forecasting inputs patient/market segmentation performance analytics)
Apply statistical and machinelearning techniques to large complex commercial datasets
Conduct exploratory data analysis feature engineering and model validation
Interpret results with an understanding of commercial context and data limitations
Data & Technical Execution
Write and optimize SQL queries to extract transform and analyze data from enterprise data sources
Work with cloudbased analytics environments and curated data assets
Support repeatable analytics workflows and model deployment processes
Develop dashboards and visualizations using tools such as Tableau or Spotfire
Business Partnership
Translate business questions from marketing forecasting insights and leadership teams into analytical approaches
Communicate findings clearly to both technical and nontechnical audiences
Support ongoing commercial reviews planning activities and adhoc analyses
Collaborate closely with forecasting insights data strategy and technology partners within CD&A
Ways of Working
Manage multiple analytical priorities in a fastpaced commercial environment
Apply structured problemsolving and sound judgment in analytical design
Ensure adherence to data governance compliance and documentation standards
What we expect of you
We are all different yet we all use our unique contributions to serve patients. The professional we seek will come with these qualifications.
Additional Qualifications/ResponsibilitiesWhat we expect of you
We are all different yet we all use our unique contributions to serve patients. The professional we seek will come with these qualifications.
Basic Qualifications:
Masters degree
OR
Bachelors degree and 2 years of relevant analytics or data science experience
Or
Associates degree and 6 years of relevant analytics or data science experience
Or
High school diploma / GED and 8 years of relevant analytics or data science experience
Preferred Qualifications:
Proficiency in Python and/or R
Strong experience with SQL and relational databases
Experience with Tableau Spotfire or similar visualization tools
Familiarity with cloud analytics platforms (e.g. Databricks Azure AWS)
Understanding of statistical modeling and machinelearning concepts
Ability to synthesize complex analyses into clear businessfocused insights
Experience in pharmaceutical biotech healthcare or commercial analytics preferred
Strong collaboration and communication skills in a matrixed organization
What you can expect from us
As we work to develop treatments that take care of others we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture well support your journey every step of the way.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to relevant skills experience and qualifications.
In addition to the base salary Amgen offers a Total Rewards Plan based on eligibility comprising of health and welfare plans for staff and eligible dependents financial plans with opportunities to save towards retirement or other goals work/life balance and career development opportunities that may include:
A comprehensive employee benefits package including a Retirement and Savings Plan with generous company contributions group medical dental and vision coverage life and disability insurance and flexible spending accounts
A discretionary annual bonus program or for field sales representatives a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.