Senior Data Scientist

Résumé du poste

The role involves partnering with cross-functional teams to translate business goals into data-driven solutions and developing statistical and machine learning models. It also requires performing exploratory data analysis and establishing best practices for modeling and presenting findings.

Détails du poste

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 data-driven solutions. Develop statistical and machine learning models that support decision-making across the business. Perform exploratory data analysis (EDA) to uncover trends, correlations, and insights that inform technical and business decisions. Collaborate on data preparation, wrangling, and transformation to ensure the 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 quantitative analysis — e.g., regression, classification, clustering, or segmentation. 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.

Ce que vous ferez

The role involves partnering with cross-functional teams to translate business goals into data-driven solutions and developing statistical and machine learning models. It also requires performing exploratory data analysis and establishing best practices for modeling and presenting findings.

Exigences

Candidates need 5+ years of experience in data science with a strong background in statistics and quantitative analysis. Proficiency in SQL and Python is required, with a preference for experience in sensor or IoT data.

Avantages

• Flexible working hours • Health insurance • Dental insurance • Professional development fund • 15 days of paid time off • Soft-skill development courses

Compétences indiquées

• SQL · Souhaitée
• Apprentissage automatique · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Statistical Modeling
• Machine Learning
• Exploratory Data Analysis
• SQL
• Python
• Scikit-learn
• Statsmodels
• Pandas
• Data Storytelling
• Quantitative Analysis
• Regression
• Classification
• Clustering
• Segmentation
• Data Wrangling

Domaines d’emploi

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