• Own the analytical agenda — define which problems are worth pursuing, set the criteria for feasibility, and establish how the team evaluates project viability. • Set the standard for analytical communication across the team — defining templates, review processes, and quality bars for how insights are documented and shared in Jupyter or Colab notebooks. • Drive alignment across product, engineering, and leadership on data strategy — proactively surfacing gaps and influencing roadmap decisions to address them. • Lead the modeling strategy for pricing and bidding — defining the technical approach across the stack (scikit-learn, statsmodels, TensorFlow, PyTorch), evaluating tradeoffs, and being accountable for measurable business outcomes. • Prototype predictive models that can be scaled by the ML engineering team into production systems. • Leverage Vertex AI or equivalent tools for experimentation, training, and deployment workflows. • Create visualizations using Python (Plotly, Matplotlib, or Seaborn) to communicate key findings effectively. • Contribute to a culture of analytical rigor, documentation, and rapid experimentation.

• Partner with Engineering and Business teams to seamlessly integrate models into our recommendation engine. • Drive the full lifecycle of our yield optimization models, from ideation and development to production monitoring and iteration. • Continuously evaluate and improve model accuracy and interpretability to directly impact key business KPIs like revenue and conversion rates. • Use sophisticated models to intelligently match users to the best offers, driving value for our internal agency and external buyers. • Interface directly with external partners, ensuring mutual success and aligning model performance with partner goals.

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. #LI-remote #LI-TH1 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.

Role Description The Lead Data Scientist will report to the Data Science Manager. As the Lead Data Scientist, you will: - Build and own end-to-end pricing systems—from experimentation to production—that directly shape revenue and unit economics. - Lead high-impact pricing experiments and apply advanced methods to uncover what truly drives conversion, retention, and profitability. - Act as a go-to expert in pricing and demand modeling, influencing strategy across Product, Risk, Finance, and Marketing. - Drive cross-functional initiatives from idea to launch, partnering closely with engineering to deliver scalable, real-world solutions. - Turn complex analyses into clear, compelling insights that guide leadership decisions. - Mentor teammates and help raise the bar on experimentation, modeling, and technical rigor. Qualifications - 6+ years of experience in data science, pricing, or quantitative modeling (or an advanced degree with relevant experience). - Strong fluency in Python/R and SQL. - Experience building and shipping pricing or demand models that drive real business impact. - Deep expertise in pricing optimization, elasticity, and econometrics. - Ability to apply causal inference and experimentation in real-world settings. - Thrive in cross-functional environments, influencing partners and translating complex work into clear, actionable insights. - Enjoy mentoring others and raising the bar for how teams approach modeling, experimentation, and decision-making. Requirements - Experience in fintech, lending, or financial services with ownership of pricing models. - Familiarity with financial metrics, risk-adjusted returns, and capital markets. - Experience working with cloud platforms and modern data tools (e.g., AWS, DBT, Airflow, Looker). - Exposure to LLMs or NLP applied to pricing or financial use cases. Benefits - Health, Dental, & Vision benefits plus savings plans. - Mac computers + work-from-home stipend to set up your home office. - Monthly internet and phone reimbursement. - Employee Stock Purchase Plan. - Restricted Stock Units (RSUs). - 401(k) plan to help you save for retirement plus a company match. - Robust tuition reimbursement program. - $1,000 travel perk on each Earnie-versary to anywhere in the world. - Competitive days of annual PTO. - Competitive parental leave.