Are you ready to make a real impact on the world? Join our mission-driven team at the cutting edge of artificial intelligence and sustainable energy.
At BluWave-ai, we're harnessing AI-driven solutions to accelerate the adoption of clean energy, build smarter grids, and drive the electrification of transportation. If you're excited about using technology to create a greener, more efficient future, this is the place for you!
Here, entrepreneurial mindsets thrive, career growth is nurtured, and your work directly contributes to a sustainable future. If you're eager to shape the next generation of renewable energy, we want you on our team.
If you're ready to be part of something bigger, join us and help power a cleaner tomorrow!
What You'll Do

• Develop and implement advanced time series forecasting models to predict future trends, demand, and other relevant variables. Apply techniques such as ARIMA, SARIMA, exponential smoothing, or machine learning algorithms tailored to time series data.
• Clean, transform, and preprocess time series data to ensure data integrity and quality. Handle missing data, outliers, and other data anomalies appropriately.
• Identify and engineer relevant features to improve the accuracy and performance of forecasting models. Incorporate domain knowledge to enhance feature selection and extraction.
• Build, train, and evaluate forecasting models using appropriate evaluation metrics. Select and fine-tune models to achieve optimal performance.
• Continuously monitor and validate the accuracy and performance of forecasting models over time. Identify and address issues related to model drift or degradation.
• Collaborate with cross-functional teams, including stakeholders from different departments, to understand business requirements and provide actionable insights based on time series analysis and optimization.
• Create clear and compelling visualizations, reports, and dashboards to effectively communicate forecasting results, optimization recommendations, and key insights to both technical and non-technical stakeholders.
• Stay updated with the latest advancements in time series forecasting, optimization techniques, and related domains. Explore, research and develop innovative approaches to improve forecasting accuracy and optimization outcomes.

What You Bring
Must Have

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
• 3 years of experience in data science or a related field, with a focus on time series forecasting and optimization.
• Knowledge and hands-on experience in developing time series forecasting models using statistical and machine learning approaches.
• Programming Skills: Proficiency in Python for data manipulation, analysis, and model development.
• Analytical Skills: Ability to apply mathematical concepts and statistical techniques to analyze complex time-dependent data and derive actionable insights.
• Proficiency in data visualization and dashboarding tools like Grafana, Plotly, or similar.
• Excellent verbal and written communication skills for presenting complex concepts and findings.
• Proven ability to collaborate effectively in cross-functional teams.
• Continuous Learning: Strong desire to stay updated with advancements in data science, time series forecasting, and optimization.
• You are a pragmatic innovator who thrives in a fast-paced, disciplined, and team-oriented environment where we strive individually while supporting, learning from, and building on each other's ideas and efforts to succeed as a team.

Nice-to-Have

• Familiarity with control and optimization of modern power and energy systems.
• Experience with optimization techniques such as linear programming, integer programming, and related tools (e.g. Pyomo, Gurobi, CPLEX).
• Understanding of machine learning model deployment strategies and monitoring techniques.
• Familiarity with Kubeflow, MLflow, or similar for managing and deploying machine learning models.
• Experience with Azure, AWS, or Google Cloud Platform and their machine learning services.
• Knowledge of Apache Hadoop, Spark, or Hive and experience with large-scale time series datasets.
• Familiarity with InfluxDB, Prometheus, or TimescaleDB for efficient time series data storage.
• Experience with Git or similar version control tools for collaborative development.

Why Join Us?
At BluWave-ai, we believe in taking care of our team just as much as we care about the planet. Here's what you can look forward to:

• Work Your Way – Enjoy the flexibility of a hybrid work model, balancing remote and in-office collaboration.
• Prioritize Your Well-Being – Take unlimited sick days because your health always comes first.
• Recharge & Refresh – Start with two weeks of paid time off, increasing to three weeks after your second year.
• Tailored Benefits – Choose from flexible employee benefit packages designed to fit your lifestyle.
• Grow with Us – Share in our success with employee stock options.
• Work Comfortably – Our relaxed dress code lets you be yourself.
• Stay Active & Healthy – Take advantage of corporate gym rates and wellness reimbursements to support your fitness goals.
• Invest in Your Future – After five years with us, take a well-earned sabbatical to recharge, explore, or pursue personal growth.

Diversity makes us stronger. BluWave-ai provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, gender, national origin, disability, or any other characteristic protected by applicable laws, regulations, or ordinances. BluWave-ai's core purpose is to facilitate the transition to a sustainable future with our technology. We live by that ethos and all corporate decision making considers the environmental impact.
Authorization to work in Canada is required for this position. We encourage all levels of experience to apply.

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