Data Scientist

Downers Grove, IL 60515

Job Category: Data Science Job Number: 3442 Annual Salary: up to 135K plus bonus Industry: Industrial Manufacturing

Job Description

Premier Global Distributor looking to add to their growing Data Science team. This Data Scientist will work on a variety of business problems utilizing advanced statistical analyses to identify trends and produce actionable insights. To be succesful in this role, the Data Scientist should have:
•Advanced Degree in Statistics, Operations Research or other technical discipline
•Experience working with large data sets and tools such as Hadoop, Hive and Spark
•Experience with Large Data Science Platforms - AWS
•Proficiency in R or Python
•Strong ability to present insights through visualization tools
•3- 7 years of experience in advanced analytics role with dknoledge of machine learning

Salary can go to 135K plus bonus

keywords: AWS, Spark, TensorFlow, Python, R, Statistics, Machine Learning








The Data Scientist will be responsible for acquiring the necessary data, running various modelling and other analytical techniques to draw insights, preparing the results in a way that is conducive to business decision making. In some cases, these analyses may result in the use of these analytical models on a day to day basis by the business.
Duties include:
Data science and analytics
• Running advanced statistical analyses identifying trends, and exploring opportunities with the aim of generating actionable insights
• Developing predictive models that address business needs and measuring performance of these models to ensure business improvements.
• Using data science platforms such as SparkML, H2O, FlinkML, and TensorFlow
Prototype to production
• Designing, developing and implementing product prototypes that are piloted and converted to products the use of which is institutionalized within the business
• Working closely with the business to collect feedback, incorporating in the product, as well as maintaining and improving its functionality over time
• Developing and institutionalizing best practices for scalable data processing and machine learning
• Assessing and mitigating possible risks and supporting and performing product and application upgrades to address them
Collaboration and interaction with other teams
• Working closely with data management colleagues to guide them on structuring relevant data to facilitate data exploration and fast prototyping
• Working closely with business insight managers to ensure business relevance of analytics processes and products
Big Data infrastructure strategy and planning
• Helping data engineers maintain data models, to ensure data is structured properly and identify any improvements
• Providing input on the roadmap for data infrastructure, working with internal / external stakeholders to drive this roadmap, and ensuring execution with clear objectives and timelines
• Working with data engineers on incorporating data from external sources which would complement internal data















Premier Global distributor looking to add to their growing Data Science team. This Data Scientist will work on a variety of business problems utilizing advanced statistical analyses to identify trends and produce actionable insights. To be successful in this role, the Data Scientist should have:
•Advanced Degree in Statistics, Operations Research or other technical discipline
•Experience working with large data sets and tools such as Hadoop, Hive and Spark
•Experience with Large Data Science Platforms - AWS
•Proficiency in R or Python
•Strong ability to present insights through visualization tools
•3- 7 years of experience in advanced analytics role with knowledge of machine learning

Salary can go to 135K plus bonus






Additional Information

keywords: AWS, Spark, TensorFlow, Python, R, Statistics, Machine Learning

Meet Your Recruiter

Sandy Marmitt
Executive Recruiter

Having over 20 years of experience in recruiting and human resources, Sandy specializes in direct, digital, and quantitative marketing.
Apply Online
Apply with LinkedIn Apply with Facebook Apply with Twitter

Send an email reminder to:

Share This Job:

Related Jobs:

Login to save this search and get notified of similar positions.