Senior Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team of more than 100,000 colleagues delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD. For more information, please visit www.thermofisher.com.

What will you do?

We expect this role can use strong statistical/machine learning skills and capabilities to provide information and insights to support marketing activities and generate sales opportunities, by collaborating with marketing and commercial team.

Responsibilities:

• Analyze large datasets from different source systems to identify cause-effect relation between marketing actions and financial outcomes, and develop recommendations on strategies to increase profitability
• Build scalable and reusable data mining solutions and capabilities to help business stakeholders understand their customers effectively, increase sales leads volume and conversion rate
• Proactively identify gaps and opportunities based on customer behaviors/needs to drive incremental revenue
• Develop predictive models such as cross sell, retention, shared gain, CPM, Lifecyle attachment, Lifecycle Repopulation and continuously optimize these models based on marketing/customers feedback
• Effectively respond to requests for ad hoc analyses
• Build dashboards/reports to track data science driven performance, and report-out to leadership

How will you get here?

Education

• Bachelor/Master’s degree in Mathematics or Statistics or Computer Science

Experience

• 3-5 years’ experience in data analytics & modeling or related fields

Knowledge, Skills, Abilities

• Working knowledge of SQL, Databricks, Python/PySpark
• Excellent communication skills, ability to translate complex technical details for non-technical audiences