Data Scientist Dot Foods


Location: Chesterfield, MO or Mt. Sterling, IL or Remote

Department: Information Technology

Reports To: Director of Data & Analytics

As Data Scientist, you are highly passionate about data. You would work directly with stakeholders and technical experts to evaluate and identify ML/AI opportunities. You would leverage internal analytics infrastructure to design, develop, implement, test, and maintain artificial intelligence solutions that provide analytical insights and help power operational functions of the business. Additionally, transparency and education would be a focal point, helping to ensure that deliverables are understandable by the broader organization and are implemented ethically. You’d analyze large volumes of data to identify hidden trends and provoke amicable discussion that leads to a better understanding or process improvement.

Company Bio: Dot Foods

Dot Foods makes products more accessible and affordable to the food industry. We add efficiency to the supply chain and build strong partnerships with distributors, suppliers, and operators. Our company was created on a foundation of respect and dependability. People who are open to input, ask questions, embrace diversity, and seek innovative solutions thrive here.


As a family-owned and operated company since 1960, Dot Foods has created a strong family culture. We make everyone feel included and respected. In addition to an inclusive working environment, we will provide you with:

  • Competitive compensation package, including bonuses for successful performance
  • Extensive benefits including medical, dental, 401k, and profit-sharing
  • Significant advancement opportunities


  • Apply advanced statistics to solve business problems daily
  • Leverage scientific approaches to ask questions, test hypothesizes, and share stories with the use of complex data
  • Work directly with all parts of the business to harvest requirements and to collaborate on projects that span multiple departments
  • Design, develop, test, and maintain ML/AI models
  • Help identify value-driven opportunities to implement and embed ML/AI models in analytics workloads and enterprise applications
  • Work as part of the internal Data & Analytics team to ensure the optimal design of data models and pipelines to support data science initiatives
  • Proactively identify data availability and quality gaps and assess/share feedback of downstream impact
  • Engage in continuous-improvement cycles for all production supported solutions; increase accuracy, performance, scope of insights, and more


Occasional overnight travel required. Must have ability to independently travel as needed, without restriction, by all modes of transportation, including car, plane, or train for customer and vendor calls, training, or meetings.

Qualifications / Requirements

  • B.S. in Computer Science/Information Technology or equivalent experience
  • Statistically inclined/mathematical expertise
  • Strong understanding of enterprise data warehousing
  • Experience with business intelligence toolsets
  • Proficient in relevant information management technologies
    • ETL/ELT
    • Message queues
    • SQL
    • Python
  • Knowledgeable & self-sufficient in process automation
  • Extensive ML/AI modeling experience
    • Familiarity with common algorithms and techniques
    • Ability to translate accuracy measures into business-friendly outcomes
  • IBM Analytics stack experience
  • Top-tier organizational skills
  • Strong communication & interpersonal skills
  • Exceptional ability to document solutions


  • Git version control
  • Passion for data analytics
  • Desire to deliver value and to positively impact the business
  • Eagerness to engage with others
  • Desire and ability to learn quickly and often on your own
  • Willingness to help and teach others

Safety: This position assumes responsibility for the workplace safety of self and co-workers, and for the safety conditions of the work locations, exercise and promotes safe behaviors and show unyielding support of programs, rules, and policies regarding safety.

EOE/AA Employer: Dot believes all persons are entitled to equal employment opportunities. Dot will not discriminate against its employees or applicants for employment because of sex, race, color, religion, national origin, age, sexual orientation, disability, or veteran status or other basic classes protected by applicable federal or state law provided they are qualified for employment or for existing positions.

Click here to apply!

Application deadline: June 30, 2022