What You Will Be A Part Of:
Innovators, please apply. As a Data Scientist III working in Digital Commerce, you will be part of a team dedicated to increasing the business efficiency of a Fortune 200 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 the complex business concerns 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.
What You Will Do:
* Apply advanced data algorithms to build models which could include: customer acquisition, up sell 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 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 don2019t 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 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 team2019s effectiveness
Waltham, MA
Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with revenues of more than $24 billion and approximately 70,000 employees globally. Our mission is to enable our customers to make the world healthier, cleaner and safer. We help our customers accelerate life sciences research, solve complex analytical challenges, improve patient diagnostics, deliver medicines to market and increase laboratory productivity. Through our premier brands - Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific and Unity Lab Services - we offer an unmatched combination of innovative technologies, purchasing convenience and comprehensive services.
To serve science, Thermo Fisher Scientific needs to stay ahead of it. To be the world leader in serving science, we need to anticipate (pre-empt) customer needs. We need to constantly think about advancing science, so customers have the freedom to be bolder and more innovative – we are committed to pushing science and technology a step beyond where it is today.