Sr Data Scientist

AmgenThousand Oaks, CA
Remote

About The Position

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. Sr Data Scientist What you will do and what we expect of you Let’s do this. Let’s change the world. In this vital role you will:

Requirements

  • Master’s degree or (foreign equivalent) in Computer Science, Mathematics, Statistics or related field and 3 years of experience in the job offered or in a data analyst - related occupation.
  • 3 years of experience in the following: Use analytics and automation tools and scientific rigor to produce actionable insights including SAS, Alteryx, Python, SQL, Tableau, Machine Learning and UiPath;
  • Build and maintain automated analytics work for internal clients with EBI;
  • Perform ad hoc analytics as needed and support priority projects;
  • SAS EBI tools including base SAS, Enterprise Guide, Stored Processes or SAS Portal;
  • Unix, SAS in Unix environment, Oracle, SQL Server, Tableau and SQL;
  • Experience with unstructured data;
  • Processing, filtering, and presenting large quantities of data stored in data warehouse or data lake repositories;
  • Cloud platforms including Amazon Web Services;
  • Data visualization tools including Tableau and Power BI.

Responsibilities

  • Analyze large volumes of structured and unstructured data to identify patterns, trends, and anomalies relevant to audit and compliance objectives .
  • Develop data visualizations, dashboards, and reports to communicate insights effectively to stakeholders.
  • Assist in assessing compliance risks by analyzing historical data, regulatory requirements, and industry trends.
  • Collaborate with compliance professionals to develop risk assessment models and frameworks based on data-driven insights.
  • Monitor key compliance metrics and indicators to proactively identify potential areas of concern.
  • Support audit planning and execution by providing data-driven insights and analysis to auditors.
  • Provide recommendations to improve audit efficiency and effectiveness through the use of data analytics tools and techniques.
  • Identify opportunities to streamline audit and compliance processes through automation and technology solutions.
  • Develop and implement automated workflows for data ingestion, processing, and analysis.
  • Leverage scripting and programming skills to automate repetitive tasks and enhance productivity.
  • Continuously assess and refine data analytics methodologies to improve efficiency and effectiveness.
  • Communicate findings and recommendations effectively to diverse stakeholders, including senior management and regulatory authorities.

Benefits

  • stock
  • retirement
  • medical
  • life and disability insurance
  • eligibility for an annual bonus
  • health and welfare plans for staff and eligible dependents
  • financial plans with opportunities to save towards retirement or other goals
  • work/life balance
  • career development opportunities
  • 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, including remote and hybrid work arrangements, where possible
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