
Data Scientist – Digital Commerce
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. Extracting data from multiple sources, cleaning and validating for duplicates and other anomalies. Identify patterns in data and turn those patterns into market opportunities.
2 years of relevant experience in data science, analytics, statistics, applied math or related
Exposure to a variety of operating systems and computing platforms
Familiarity with available Open Source solutions that will boost the team’s effectiveness
Sql
GIT
GitHub
Python
Power BI
Databricks
PySpark
Time Management Skills
Version control / Source code management
Verbal communication
Driven and self-motivated
written communication
Problem Solving Skills
Flexibility/Adaptability
Detail Oriented and Organized
multitasker
According to JobzMall, the average salary range for a Data Scientist – Digital Commerce in 600 Business Center Dr, Pittsburgh, PA 15205, USA is between $50,000 and $123,000 per year. This range may vary depending on experience level and other factors.
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Thermo Fisher Scientific is a U.S.-based provisioner of scientific instrumentation, reagents and consumables, and software and services to healthcare, life science, and other laboratories in academia, government, and industry.

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