Sr. Data Scientist, Digital Commerce

Key Skills

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

Job Description

Who We Are:

When you’re part of the team at Thermo Fisher Scientific, you’ll be part of a team that does important work, like helping customers in finding cures for disease, protecting the environment or making sure our food is safe. Your work will have real-world impact, and you’ll be supported in achieving your career goals.

What You Will Be A Part Of:

As a Data Scientist II working in Digital Commerce, you will be part of a team dedicated to increasing business efficiency of a Fortune 200 Company. This new position provides an exciting way for an experienced Data Scientist to employ a cross section of machine learning and analytic processes to develop solutions that will improve efficiency and drive revenue.

You will quickly grasp the complex business concerns and translate them into algorithms and communicate the results to stakeholders with varying degrees of technical background. You will be challenged to develop new analytic capabilities to a wide variety of projects, identifying revenue and lead opportunities and recommending the best marketing actions based on predictive modeling.

What You Will Do:

• Be part of a team to identify business problems and areas of opportunities and translate business questions into quantitative analyses.
• Apply advanced data algorithms to build models which would include: customer acquisition, up sell and cross sell, customer retention and others.
• Develop analytical and visual metrics to measure and compare campaign performance. Design control groups and set up standards for A/B testing.
• Transform data on customer behavior and web engagement into product recommendations
• Work with our Data Scientists to leverage machine learning and automation to enhance business processes.

Additional Job Responsibilities:

• Extracting data from multiple sources, cleaning and validating for duplicates and other anomalies
• Employing math and statistics into algorithms to generate real-time predictive systems
• Align and adapt business problems to the most efficient machine learning algorithm
• Write code from scratch to create solutions that don’t align with any available turnkey packages
• Selecting and explaining the best analytical technique for the particular problem
• Understanding how to create a computationally efficient solution
• Accurately manage data coming from multiple domestic and international sources
• Proactively create solutions as opportunities are identified

How You Will Get Here:

• Bachelor's Degree plus 3+ years of relevant experience in data science, analytics, statistics, applied math, or related experience
• Or Master's Degree plus 2+ years of relevant experience in data science, analytics, statistics, applied math, or related experience
• Business analytics required, pricing or marketing analytics a plus
• Ability to manage multiple concurrent projects to execute responsibilities in a timely and accurate manner.
• Must embrace team spirit and have strong interpersonal skills.
• Excellent written and oral communication skills, including an ability to communicate across business areas and with global teams.
• Proficiency in Python (or PySpark) and SQL. Exposure to other languages is expected.

Preferred Qualifications:

• Experience in Digital Commerce desirable but not required
• Working knowledge of SQL Server, Databricks, Spark, Oracle, Power BI.
• AWS/Cloud Computing
• Exposure to a variety of operating systems and computing platforms
• Familiarity with available Open Source solutions that will boost the team’s effectiveness