Senior Data Scientist

At Lumenalta, we partner with forward-thinking organizations to build technology solutions that scale, delight users, and accelerate business growth. Our global teams bring curiosity, commitment, and technical excellence to every project. We value transparency, autonomy, and impact empowering every team member to do their best work. What You'll Work On Partner with cross-functional teams to understand business goals and translate them into predictive models and data-driven solutions. Build forward-looking predictive models, including demand forecasting, inventory pre-positioning, and health/trend monitoring (HTMS) analytics. Develop statistical and machine learning models, including approaches that leverage sensor/telemetry data to anticipate maintenance needs before issues arise. Perform exploratory data analysis (EDA) to uncover trends, correlations, and leading indicators that inform predictive models. Collaborate on data preparation, wrangling, and transformation to ensure accuracy and integrity of model inputs and outputs. Establish best practices for modeling, validation, and presenting analytical findings to a diverse audience. Requirements 5+ years of experience in a Data Scientist or similar role, with hands-on experience building statistical or machine learning models. Strong background in statistics and predictive analytics e.g., time-series forecasting, regression, classification, or anomaly detection. Experience with statistical model development and deployment is required. Hands-on experience with SQL for data extraction and manipulation, and Python (e.g., scikit-learn, statsmodels, pandas) for modeling. Familiarity with data storytelling and the ability to present findings to both technical and non-technical audiences. Experience with sensor/telemetry/IoT data is a plus, particularly in motorsport, high-performance car tuning. Why Lumenalta is an amazing place to work at At Lumenalta, you can expect that you will: Be 100% dedicated to one project at a time so that you can innovate and grow. Be a part of a team of talented and friendly senior-level developers. Work on projects that allow you to use leading tech. Salary Salary range: CA$80,000 - CA$165,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope. Location: This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules. Benefits In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including: Flexible working hours in a remote environment. Health insurance (medical and dental) for T4 Employees. A professional development fund to enhance your skills and knowledge. 15 days of paid time off annually. Access to soft-skill development courses to further your career. Position Details This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday. Application Deadline Applications will be accepted until September 20th, 2026. Candidates can expect feedback by September 28th, 2026.

Develop predictive models and data-driven solutions for demand forecasting, inventory pre-positioning, and health monitoring. Collaborate with cross-functional teams to perform exploratory data analysis and establish best practices for model validation.

Requires 5+ years of experience in data science with strong expertise in statistics, machine learning, SQL, and Python. Experience with sensor or telemetry data is considered a plus.

• Flexible working hours • Health insurance (medical and dental) • Professional development fund • 15 days of paid time off annually • Soft-skill development courses

• SQLPreferred
• Machine learningPreferred
• Demand ForecastingPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Predictive Modeling
• Demand Forecasting
• Machine Learning
• Statistical Modeling
• Exploratory Data Analysis
• SQL
• Python
• Scikit-learn
• Statsmodels
• Pandas
• Time-series Forecasting
• Regression
• Classification
• Anomaly Detection
• Data Storytelling
• IoT Data Analysis

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level