Data Scientist

Build Predictive Weather Models: You will design, train, and deploy machine learning and spatio-temporal models to integrate weather feeds with client sales data to predicting demand, optimizing forecasts, and quantifying operational risk.

Derive Actionable Insights: You will conduct end-to-end exploratory analysis on complex meteorological datasets to uncover high-value patterns and translate probabilistic trends into strategic recommendations.

Drive B2B & Commercial Growth: You will partner with Sales, Marketing, and Customer Support to build analytics solutions for B2B initiatives.

Optimize ML Performance: You will leverage distributed frameworks (e.g., PySpark, Dask, Ray) and modern ML stacks (Scikit-learn, PyTorch/TensorFlow, LLMs) to improve model speed, scale inference pipelines, and lower compute costs.

Own the Model Lifecycle: Take responsibility for the full end-to-end lifecycle, including testing, deployment, and ongoing monitoring to ensure production-grade stability and reliability.

Technical documentation: Actively document model architectures, data lineage, and decision logic to ensure reproducibility, facilitate peer review, and maintain long-term institutional knowledge.

Cross-Functional Collaboration: You will partner closely with Data Engineers, Product Managers, and Revenue leaders to embed predictive algorithms into live APIs and deliver scalable data products that solve real-world enterprise problems.

Degree in a STEM discipline (Data Science, Statistics, Computer Science, or a related quantitative field); a Master’s or PhD is preferred but not required.

3+ years of data science experience specializing in B2B environments, with expertise in spatio-temporal modeling, time-series forecasting, and weather data intelligence.

High proficiency in Google BigQuery (SQL, window functions, query optimization, and large-scale data manipulation).

Advanced expertise in Python for statistical modeling, data science, and graphical visualization (e.g., Matplotlib, Seaborn, or Plotly), with hands-on experience using core ML libraries including NumPy, SciPy, Scikit-learn, and TensorFlow or PyTorch.

Experience working with distributed computing frameworks (e.g., Apache Spark) to process large-scale datasets.

Strong communication skills, including the ability to explain complex ideas to an audience with a non-technical background

Course Reimbursement Program 📚 We want you to keep learning, so we can too

Open and transparent communication, including All Hands Meetings with our CEO

Pelmorex Learning Academy 🏫

Your mental health is important to us! 🧠 We partner with our Benefits provider for virtual counseling sessions

Frequent employee pulse surveys 📝 we value your feedback so we can continue to make Pelmorex a great place to work!

Free online doctor visits 👩⚕️ with Maple Online Healthcare

While we encourage 1:1 conversations, we recognize that not everyone is comfortable with speaking up 🗣 We have an anonymous reporting platform to ensure everyone’s voice is heard

OUR PROMISE TO YOU... We’re highly focused on doing the right thing.We’ll discuss issues and timelines professionally, so you have the time you need to do the best work you canYou will see the result of your work pushed out to real users quicklyWe’re a team that enjoys learning new technologies and we’re open to trying new thingsWe’ll try our best not to bog you down with boring meetings Weather inspires, protects, and transforms. For 35+ years, Pelmorex has led the way with trusted forecasts and alerts. With innovation at our core, we provide precision, speed, and unmatched reliability—safeguarding lives, powering decisions, and driving business success. Whatever the weather, we turn its potential into action. We’re Pelmorex. Imagine it and we’ll deliver it. Fair and Authentic Interview Experience We welcome candidates using AI tools to prepare for interviews or to learn more about Pelmorex. During the interviews themselves, we expect responses to come from your own experience and thinking. We ask that candidates not use real-time AI assistance, live answer prompts, or automated response tools during interviews. This helps ensure a fair process for everyone and allows us to evaluate how you approach problems and communicate in your own voice.