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Title:  Data Scientist - Advanced Analytics

Location: 

Downers Grove, IL, US, 60515

Company:  Univar Solutions Inc.
Requisition ID:  24200

Want to work for a company that is reimagining distribution?  Join Univar Solutions, the premier global distributor of chemicals and ingredients.  Our goal is to function as a direct extension of our customers’ teams; to serve as an ally in their quest of business success. 
 

At Univar Solutions, we’re building on our more than 90 years of experience  and drawing on deep resources – inventory and logistics experts, scientists, PhDs, procurement, customer service, sales and marketers-to deliver consultative services and an unmatched portfolio to solve customers’ formulation and operational challenges.  When you work for Univar Solutions, you’ll play an important role in shaping how we deliver more than chemical and ingredients. 

 

The Data Scientist will be responsible for acquiring the vital data, running various modeling 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.

 

Responsibilities:

  • Data science and analytics
  • Running sophisticated statistical analyses identifying trends, and exploring opportunities with the aim of generating meaningful 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-
  • Crafting, designing 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 standard methodologies for scalable data processing and machine learning
  • Assessing and mitigating possible risks and supporting and performing product and application upgrades to address them
  • 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 accurately and identify any improvements
  • Providing input on the roadmap for data infrastructure, working with internal / external partners 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 flow, operation and maintenance-
  • Supporting internal colleagues and consultants with the extract, transform and load process to ensure data is delivered accurately
  • Conducting day-to-day administrative maintenance and support required, including monitoring, alerting and quality assurance

 

Skills:

  • Professional in working with large data sets, simulation / optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
  • Solid grasp of different statistical models and the trade-offs between them
  • Demonstrable experience in working with distributed systems and technologies (e.g., Apache Mesos, Apache YARN, Marathon, Hadoop/HDFS)
  • Outstanding track record of building, leading and maintaining large-scale data science platforms (e.g. cloud infrastructure preferably in AWS/GCE), models and more importantly products, while ensuring engagement and innovation around the data
  • Proficient in at least one scripted language (e.g. Python, R, Matlab), and especially its scientific / statistical packages
  • Strong data visualization ability (at minimum, working with basic visualization tools such as Tableau and Qlik), and proficiency in presenting insights
  • Good communication skills and experience with change management to help change mentalities and behaviors across the organization
  • Analytical, commercial approach - Highly analytical with a structured problem-solving approach.
  • Proactive problem solver with immediate professional and intellectual credibility and an impactful style

 

Education:

  • MS/PhD in computer science, statistics, or operations research or related technical field (eg. Math)
  • Certifications in statistics, data mining and machine learning a plus
  • 2+ years' experience in a statistical and/or data science role, with deep knowledge of machine learning, statistics and optimization.

 

In addition to our commitment to diversity and inclusion, we are also committed to sustainability. At Univar Solutions, sustainability is more than an aspiration – it’s core to how we conduct business. We bring together ambitious goals, operational excellence, technology and collaboration to minimize environmental impact and improve sustainability in all we do. Check this out: Our journey to a more sustainable future - leading the way in environmental, social and commercial sustainability

 

Univar Solutions is an equal opportunity employer.  All qualified applicants will receive consideration for employment and will not be discriminated against based on their race, gender, sexual orientation, gender identity, religion, national origin, age, disability, veteran status, or other protected classification.

 

We offer comprehensive benefits to employees including medical, dental, STD, LTD and life insurance, 401k, generous PTO and much more.

 

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Nearest Major Market: Chicago

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