For decades, DTN has been the silent force behind some of the world’s most critical industries—helping businesses navigate complexity, uncertainty, and risk with smarter, faster decisions. From agriculture to energy to weather intelligence, our proprietary Operational Decisioning Platform transforms raw data into decision-grade insights—enabling companies to optimize supply chains, ensure market stability, and safeguard infrastructure against disruption. We don’t follow trends—we set the standard for precision, trust, and operational impact. 

DTN is at an exciting inflection point. Building off a foundation of financial strength, profitability, and industry trust, we’re accelerating growth and expanding our global footprint. Our purpose-built solutions—powered by AI and honed by decades of vertical expertise—are helping some of the world’s most significant enterprises thrive amid operational constraints and uncover new opportunities in a fast-changing world.

Job Description:

Position Summary:

DTN is seeking a Senior Data Scientist to lead the development and deployment of advanced analytics, machine learning, and predictive modeling solutions that drive business insights and product innovation. This role partners closely with cross-functional teams to translate complex data into actionable outcomes, while guiding data science initiatives from concept through production. The ideal candidate brings deep technical expertise, strong business acumen, and the ability to lead and mentor others in a collaborative environment.

What You Will Be Responsible For:

• Lead initiatives leveraging data mining, statistical analysis, and advanced modeling techniques to generate business insights.

• Design, implement, and validate predictive and prescriptive models to support product and customer outcomes.

• Partner with cross-functional stakeholders to understand business needs and determine appropriate modeling approaches.

• Conduct feasibility studies and exploratory analyses to evaluate data science hypotheses and opportunities.

• Develop dashboards, reports, and visualizations to communicate model outputs and insights to stakeholders.

• Represent DTN data science in customer interactions, discovery sessions, and internal presentations.

• Mentor and lead a small team of data scientists, fostering best practices and continuous improvement.

What You Will Bring to the Position:

• Strong professional experience in machine learning, predictive modeling, and statistical analysis.

• Proficiency in Python and scientific computing libraries such as pandas, NumPy, scikit-learn, and related tools.

• Experience with data visualization tools and libraries such as matplotlib, Plotly, or similar frameworks.

• Experience building dashboards using tools such as Dash, Streamlit, or equivalent platforms.

• Experience training, retraining, and maintaining predictive models in production environments.

• Proven ability to lead data science initiatives and collaborate with cross-functional stakeholders.

• Strong communication skills with the ability to present complex data insights to technical and non-technical audiences.

What You Can Expect from DTN:

• Competitive Salary

• Unlimited PTO

• Flexible working hours

• Remote work model (position dependent)

• Competitive Medical, Dental and Vision Insurance Plans

• 6% 401K matching

• Unlimited access to 13k+ courses via learning platform to support employee career advancement

• Employee Assistance Program (EAP)

Compensation:

The targeted hiring base pay range for this position is between $123,500 and $164,500. DTN is a pay-for-performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws. The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits.

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About DTN:

DTN is a global data and technology company helping operational leaders in energy, agriculture, and weather-driven industries make faster, smarter decisions. Our Operational Decisioning Platform turns complex data into decision-grade insights—empowering customers to expand their margins, accelerate growth, and outpace risk. With more than 1,200 employees globally, DTN serves the companies that feed, fuel, and protect the world. 

At DTN, we value clarity, trust, and action. We’re a team of problem-solvers, outcome-drivers, and industry nerds who believe that precision matters – and that mission is at the core of what we do.

• Trust Built: We earn it. We keep it. We protect it. Our neutrality, precision, and integrity are non-negotiable.

• Confidence-Driven: We help customers move with clarity and conviction. We bring the data and operational knowledge leaders need to act.

• Built for Industry: We speak operations because we come from operations. Our expertise is forged in fuel terminals, fields, flight paths, and forecasts.

• Future-Forward: We see what’s coming- and we’re ready. We help customers lead through change with smarter decisioning.

Recruitment Fraud Notice:

DTN is aware of incidents where external parties have impersonated our organization, issuing fraudulent communications and/or job offers. Please be advised that all legitimate communication from DTN will come from an official @dtn.com email address or through our Paradox AI automated scheduling platform (Talent IQ). Any offers are extended directly by our Talent Acquisition team following a formal interview process. 

If you receive a suspicious message or offer claiming to be from DTN, please do not engage. Contact our Talent Acquisition team at Careers@dtn.com to verify the legitimacy of any communication. Report any fraudulent messaging as phishing or spam.

DTN is an Equal Opportunity Employer. We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.