Job description

As part of the Thermo Fisher Scientific team, you will discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every day to enable our customers to make the world healthier, cleaner, and safer. As we continue to invest in our digital transformation, our Data Science COE is expanding to our newest facility in Milan, Italy. We are excited to launch this new digital center of excellence, bringing together innovative and passionate colleagues to drive the strategic priorities for our businesses.

How will you make an impact?

Innovators please apply. As a Data Scientist III working in the Corporate Data Science Center of Excellence, you will be part of a team dedicated to increasing the business efficiency of a Fortune 100 Company. This position provides an exciting way for an early-career, high-aptitude employee to work with an experienced team and make immediate contributions. If you enjoy math, programming, and problem solving this may be the job you are looking for. Please read on.

Working with a team of great people you will learn how to navigate complex business concerns from across the enterprise and translate them into processes and algorithms. These solutions will be presented to fellow analysts and business stakeholders. There will be a continuous challenge to develop new analytic capabilities and improve existing ones on a wide variety of projects. The Data Scientist III will typically choose the approach taken.

Responsibilities:

  • Apply advanced data algorithms to build models which could include: customer acquisition, upsell and cross-sell, customer retention, recommendation engines, and others
  • Create, validate, and stress-test the algorithms that are employed
  • Pull data in from various sources and work with business leaders to create revenue-generating strategies
  • Develop analytical and visual metrics to measure and compare campaign performance
  • Transform data on customer behavior and web engagement into product recommendations
  • Work with our Data Scientists to leverage machine learning, generative AI, and automation to enhance business processes
  • Share ideas across the team to come up with the best algorithms and approaches

Skills employed in this job will include:

  • Extracting data from multiple sources, cleaning and validating for duplicates and other anomalies
  • Identify patterns in data and turn those patterns into market opportunities
  • Employ 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

Minimum Qualifications:

  • Bachelor's Degree with 2 years of relevant experience in data science, analytics, statistics, applied math or related
  • Willingness to wrangle data and solve elusive problems
  • Strong aptitude for math and numerical estimation
  • Proficiency in Python (or PySpark) and SQL
  • Experience with version control / source code management systems (Git, GitHub)
  • Excellent written and oral communication skills, including an ability to communicate across people of varying technical and business acumen
  • Passionate about continuous learning

Preferred Qualifications:

  • Experience in eCommerce desirable but not required
  • Working knowledge of SQL Server, Databricks, Spark, Oracle or 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

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.