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Mopid | Principal Data Scientist
2 weeks ago
Experience - 10+years
Type of role - Full Time, In office
Job Location - Bengaluru
Roles and Responsibilities:
● Convert broad vision and concepts into a structured data science roadmap, and guide a
team to successfully execute on it.
● Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be
a combination of hands-on contribution, technical team management, and client interaction.
● Proven ability to discover solutions hidden in large datasets and to drive business results
with their data-based insights
● Contribute to internal product development initiatives related to data science.
● Drive excellent project management required to deliver complex projects, including
effort/time estimation.
● Be proactive, with full ownership of the engagement. Build scalable client engagement level
processes for faster turnaround & higher accuracy
● Define Technology/ Strategy and Roadmap for client accounts, and guides implementation
of that strategy within projects
● Manage the team-members, to ensure that the project plan is being adhered to over the
course of the project
● Build a trusted advisor relationship with the IT management at clients and internal accounts
leadership.
Mandated Skills:
● A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject
● 10+ years of hands-on experience in applied Machine Learning, AI and analytics
● Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL,
Spark with ML tools & Cloud Technology (AWS, Azure, GCP)
● Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy,
BERT etc.
● Strong grasp of depth and breadth of machine learning, deep learning, data mining, and
statistical concepts and experience in developing models and solutions in these areas
● Expertise with client engagement, understanding complex problem statements, and
offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc.
Desired Skills:
● Deep understanding of ML algorithms for common use cases in both structured and
unstructured data ecosystems.
● Comfortable with large scale data processing and distributed computing
● Providing required inputs to sales, and pre-sales activities
● A self-starter who can work well with minimal guidance
● Excellent written and verbal communication skills