Director Data Science

apartmentSigmoid placeBangalore calendar_month 

Job Description

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to

make accurate and fast business decisions, by building modern data architectures using cloud and

open source. Some of the world's largest data producers engage with Sigmoid to solve complex

business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial

intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology

companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

This role is for our Bengaluru office.

Why Join Sigmoid

Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly

combining technical expertise and creativity to tackle intrinsically complex business

problems and convert them into straight-forward data solutions.

Despite being continuously challenged, you are not alone. You will be part of a fast-paced

diverse environment as a member of a high-performing team that works together to

energize and inspire each other by challenging the status quo

Vibrant inclusive culture of mutual respect and fun through both work and play

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

14+ 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

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