Data Scientist

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.

Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success.

You will work as part of a dedicated machine learning squad focused on building Artificial Intelligence solutions, including both traditional ML and Generative AI. You should be proficient in Python development, predictive analytics, and prompt engineering. As part of the role, you will be able to collaborate with various clients and subject matter experts to understand business requirements, translate them into robust Python implementations, and build machine learning models supported by clear evidence and analysis. You should will also understand the full lifecycle of ML and Gen AI solutions, including their maintenance and continuous performance monitoring. You should also have a strong understanding of the end-to-end lifecycle of ML and Gen AI solutions, including their ongoing maintenance and continuous performance monitoring.

Information Security Responsibilities:
• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Responsibilities::
• Contribute to development and maintenance of Machine Learning models for business problems.

• Contribute to model evaluation, parameter tuning, feature selection and model calibration experiments for predictive analytics projects.

• Contribute towards prompt engineering for data analysis and discovery.

• Conduct regular testing and performance analysis.

• Conduct necessary bench-marking experiments.

Requirements::
• Bachelor’s in computer science or related field.

• Years of experience: 5+

• Hands-on experience in building ML and Data Science solutions for real world problems.

• Understanding of ML models and concepts, good practices and analysis.

• Experience/Understanding with Open AI and different LLM models, prompt engineering, testing and performance evaluation.

• Strong data science and statistical analytics skills.

• Strong in problem-solving with innovative mindset.

• Strong Python development skills.

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Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas.

For employment opportunities based in Canada:
Bounteous is an equal opportunity employer. In accordance with the Ontario Human Rights Code and Accessibility for Ontarians with Disabilities Act, 2005, accommodation will be provided at any point throughout the hiring process, provided the candidate makes their accommodation needs known to Bounteous. We welcome applications from all qualified candidates.

*Must be legally eligible to work in Canada.