Job Details

ID #45277265
State Pennsylvania
City Pittsburgh
Full-time
Salary USD TBD TBD
Source Thermo Fisher Scientific
Showed 2022-08-29
Date 2022-08-29
Deadline 2022-10-28
Category Et cetera
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Data Scientist III – Digital Commerce

Pennsylvania, Pittsburgh, 15201 Pittsburgh USA

Vacancy expired!

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 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.This position will be on-site in Pittsburgh, PA working alongside a team of phenomenal data scientists and data analysts. You will learn how to navigate the complex business concerns within ThermoFisher 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 sophisticated 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 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

Solid understanding 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

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

Vacancy expired!

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