Data Science Engineer

Decision Minds is a leader in Data Cloud, Big Data, Cloud Analytics, AI/ML, and Multi-Cloud deployments. We are a team of passionate thought leaders and industry experts who strive for excellence and clarity in creating innovative solutions and products. Our goal is to revolutionize Data Analytics, Artificial Intelligence, Cloud Computing, and Robotic Process Automation, and make a positive impact on people's lives.

Know more about us at www.decisionminds.com | LinkedIn

Job Role: Data Science Engineer

Primary Skills: Strong SQL, Python

Experience: 4 to 8 Years

Mode of working: WFO

Key responsibilities:

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  Hands-on experience getting from raw data to AIML to insights to drive business outcome / change. Collaborate closely with business stakeholders to gather requirements, understand use cases, and translate them into data science solutions.

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  Build, validate, and deploy predictive models and analytical solutions using GCP services present insights and findings to business users in a clear and impactful manner.

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  Conduct exploratory data analysis to identify trends, patterns, and opportunities for optimization.

Required Tech Stack and other related details:

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  4-7 years of experience in Data Science roles, preferably with exposure to Data Engineering tasks (ideal split 70% DS / 30% DE).

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  Strong hands-on experience with machine learning, statistical modeling, and analytical techniques. Experience working with Google Cloud Platform (GCP),especially Big Query, Vertex AI, Cloud Storage, and related services.

Good to have:

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  Excellent communication and stakeholder management skills – ability to interact directly with business users and explain technical concepts clearly. Proficiency in Python, SQL, and relevant data science libraries Understanding of data pipeline concepts; direct implementation experience is a plus.