Data Scientist (AI / GenAI Developer)

Straive is a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit.

Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail, energy and logistics, helping them build robust data analytics and AI capabilities.

With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective.

Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.

Website: https://www.straive.com/

Job Title: Data Scientist (AI / GenAI Developer)

Location: Calgary, AB, Canada (Hybrid)

Employment Type: Full-time

About the Role

We are looking for a Data Scientist with strong AI/ML capabilities and developer mindset to build intelligent data products and analytics solutions. The ideal candidate combines machine learning expertise with strong Python engineering skills and has an interest in GenAI applications and modern data platforms.

This role will work closely with data engineering, product, and business teams to develop predictive models, AI applications, and data-driven insights that support decision-making and operational optimization.

While not mandatory, experience working in industries such as Oil & Gas, Energy, Retail, or Marketing Analytics is considered an advantage.

Key Responsibilities

• Develop machine learning models for prediction, forecasting, segmentation, and optimization.
• Build AI-powered solutions using LLMs, embeddings, or RAG pipelines for knowledge search, summarization, and decision support.
• Design and develop data-driven applications or APIs that operationalize analytics and ML models.
• Work with large datasets from multiple sources and build scalable data pipelines for feature engineering and modeling.
• Collaborate with data engineering teams to deploy models into production environments.
• Build lightweight front-end dashboards or interfaces (where required) to enable business users to interact with analytics outputs.
• Communicate insights clearly to stakeholders and translate business problems into analytical solutions.
• Ensure adherence to best practices around data governance, security, and privacy.

Required Skills & Qualifications

• 3–5 years of experience in Data Science, Machine Learning, or AI-related roles.
• Strong programming skills in Python (pandas, NumPy, scikit-learn) and SQL.
• Experience building and validating machine learning models for classification, regression, clustering, or forecasting.
• Ability to work with large datasets and perform advanced feature engineering and model evaluation.
• Strong analytical thinking and ability to translate business questions into technical solutions.
• Excellent communication skills and ability to work in cross-functional teams.

Good to Have (Preferred)

• Experience with Generative AI / LLM frameworks (OpenAI, LangChain, HuggingFace, RAG architectures).
• Familiarity with cloud platforms and data platforms such as Azure, AWS, Databricks, or Snowflake.
• Experience with Spark or distributed data processing frameworks.
• Exposure to front-end technologies (Streamlit, Dash, React, or similar) for building analytics interfaces.
• Experience deploying models via APIs or building end-to-end AI applications.
• Domain exposure to Oil & Gas / Energy analytics, Retail analytics, or Marketing analytics.

What We’re Looking For

• Builder mindset: ability to go from data exploration → model development → deployable AI solution.
• AI curiosity: strong interest in applying emerging technologies such as GenAI and LLMs.
• Pragmatic problem solver: balances modeling rigor with practical business impact.
• Collaborative team player who can work across data science, engineering, and business teams.

This job description is not intended to cover or contain a comprehensive listing of all responsibilities, duties, or activities that are required. Responsibilities, duties, and/or activities may change, or new ones may be added at any time with or without notice.

If you are a motivated professional with a passion for delivering impactful solutions, we’d love to hear from you. Apply today to be part of a dynamic and forward-thinking team at Straive.

“Straive is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation.

We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.”