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Director of Data Science & Pricing in Niles, IL at AFN

Date Posted: 2/17/2018

Job Snapshot

Job Description

AFN is looking for talented, driven, and successful people to join our fast-growing, award-winning, and fun-loving third-party logistics team. With AFN, you have the chance to take the wheel, and steer your career exactly where you want it to go. Challenge yourself. Come grow with us.  Reap the rewards you deserve.  Do you have what it takes?  Now is the time to find out.

At AFN we hire the best of the best – visionary thinkers; people continuously looking to reinvent the way they do business and seek out new, creative solutions.  Our high-performance team is driven, empowered, innovative and packed with self-starters.  We provide our employees with the necessary tools and freedom to build their own career paths and discover success.

AFN is committed to your personal success and offers the resources, programs and support needed to make it happen.  We care about your professional growth and will help you achieve your goals.  We offer a competitive base salary, aggressive incentive program and a comprehensive benefits package.

As the Manager of Business Intelligence, you'll be responsible for transforming Business Intelligence (BI) at AFN and enable the organization to be data-driven. In this role, the Manager of BI will define the strategy for business intelligence at AFN. Partnering with the business, the Manager of BI will also be defining the roadmap to educate, mentor and drive adoption of BI across the different departments within the company. This is a highly visible role with broad accountability and as such, will interface with all key stakeholders both in Technology and the business. The key role of BI is widely recognized and valued at all layers of the organization. The team has a strong history of understanding our business, the industry, and supporting our leaders with accurate and timely information.

This role requires a strong blend of business, technology, and personnel management. The successful
candidate will have demonstrated experience in working across functional areas, team leadership,
emerging technologies, and executive engagement. (S)he or he will also handle special projects, as
assigned by the CEO, CFO or COO.

Main Responsibilities:
● Develop and execute to a multi-year roadmap and build out predictive analytics capabilities for
the organization.
● Engage and foster a collaborative team environment through effective coaching and leadership.
● Continuously communicate the highest priority strategic initiatives to keep the team focused on
the right things.
● Own, lead and facilitate all presentations on key performance metrics to the executive leadership
● Partnering with IT, lead the development, implementation and maintenance of a scalable data
management solution that is aligned to the strategic objectives and the reporting needs of the
● Drive data partnership strategy that delivers beneficial yield to predictive modeling.
● Build and publish transportation market analysis for the benefit of AFN and its customer and
carrier partner base.
● Work with stakeholders to define business and systems requirements for new information
technologies, particularly in the areas of BI, analytics, and data warehousing.

Who We Are:

Founded in 2003, AFN is an award-winning, third-party logistics provider focused on supply chain solutions and transportation services throughout North America.  Serving motor carriers, manufacturers and retailers, we are known for our commitment to client services, our proactive approach to fighting cargo theft and our expertise in retail compliance.  We specialize in creating customized logistics solutions for our clients, including full truckload, LTL, intermodal, high-value shipping, expedited services and outsourced transportation.


Employer is EOE/M/F/D/V. No third party candidates please.


Job Requirements



  • 8+ years of experience in the quantitative analysis field required; 5+ years of experience in data science role focused on solving analytical problems using statistical/quantitative approaches (or equivalent).
  • Experience with common analysis tools including but not limited to SQL, R, and Python. Demonstrable familiarity with code and programming concepts.
  • Experience with cloud-based code deployment such as Amazon Web Services preferred.
  • Extensive practical experience with production machine learning systems.

Education and Certifications:


  • Bachelor’s degree in a technical field (Engineering, Applied Sciences, Finance) preferred but not required.  Master’s degree in technical field preferred but not required.


  • Excellent educational background in statistics, applied math, computer science, operations research, economics, or a related field. Advanced degree preferred.

Technical Skills:

  • Background in data science, machine learning and statistical methods
  • Strong experience in machine learning (text classification, clustering, etc.)
  • Strong understanding of statistical analysis, experience with mining large data sets, and delivering statistical and predictive models in statistical environment.
  • Maintain a balance between building principled, mathematically rigorous solutions and shipping things quickly.

Management Skills:

  • Excellent execution and organization. This team will be working with engineers and product leads at the forefront of the development cycle. To excel in this role, the Director of Data Science and Pricing should be comfortable executing with little oversight and be able to adapt to problems quickly.
  • Self-starter and collaborative leader. Everywhere this individual goes, they can’t help but mobilize people, build things, resolve problems, get into the details, go above and beyond, and draw out the best in people. The Director of Data Science & Pricing is a doer and motivator of others.
  • Must possess exceptional written, verbal and interpersonal communication skills, including the ability to interact with and establish trust and credibility with all levels of the organization. Must possess strong relationship-building skills with the ability to influence internal stakeholders absent a reporting relationship.
  • Passion for creative problem-solving and comfort with ambiguity; extensive experience using data to solve critical and complex questions.
  • High levels of ethics, personal discipline and professionalism required.