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Industry Consultant (Manufacturing + Data Science)

Industry Consultant (Manufacturing + Data Science)

HoonarTek

10 years

0 Lacs

pune

Posted:2 days ago| Platform: GlassDoor logo

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Skills Required

manufacturing data integration analytics engineering research leadership risk compliance vision design agile drive planning ai development maintenance automation statistics learning

Work Mode

On-site

Job Type

Part Time

Job Description

Pune

About Us

We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization.

Hoonartek is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner.

Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities & risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk & compliance solutions and traditional data warehouses & marts.

At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity

How We Work?

Define, Design and Deliver (D3) is our in-house delivery philosophy. It’s culled from agile and rapid methodologies and focused on ‘just enough design’. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success.

We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value.

Job Description

Responsibility:

Help customers identify opportunities of monetizing their data assets to drive growth and profitability.

Understand customer's engineering, supply chain and production planning requirements and design digital solutions for customers that have AI and AI-Agents embedded in them.

Act as a bridge between customer business stakeholders and development teams comprising of Data Scientists and Solution Architects.

Publish Whitepapers on topics covering application of AI to solve domain specific issues and drive growth in the industry.

Essential Skills:

Ability to manage senior customer stakeholders.

Ability to help customers understand how Industry 4.0 practices can be applied in their environment.

Ability to lead requirement gathering and solutioning workshops with customers.

Ability to understand the latest development in AI research and relate them to areas where they can be applied.

Experience:

Domain: Manufacturing (Production Planning, Maintenance, Automation, Control Systems, Supply Chain) (Min. 10 years) (Actual Automation and Control Systems experience preferred)

Technical: Control Systems data, Digital Applications implementation (min. 5 years)

Knowledge:

Statistics (Strong in application)

Machine Learning / Deep Learning / LLM / Agents (Strong in concepts)

Job Requirement

Responsibility:

Help customers identify opportunities of monetizing their data assets to drive growth and profitability.

Understand customer's engineering, supply chain and production planning requirements and design digital solutions for customers that have AI and AI-Agents embedded in them.

Act as a bridge between customer business stakeholders and development teams comprising of Data Scientists and Solution Architects.

Publish Whitepapers on topics covering application of AI to solve domain specific issues and drive growth in the industry.

Essential Skills:

Ability to manage senior customer stakeholders.

Ability to help customers understand how Industry 4.0 practices can be applied in their environment.

Ability to lead requirement gathering and solutioning workshops with customers.

Ability to understand the latest development in AI research and relate them to areas where they can be applied.

Experience:

Domain: Manufacturing (Production Planning, Maintenance, Automation, Control Systems, Supply Chain) (Min. 10 years) (Actual Automation and Control Systems experience preferred)

Technical: Control Systems data, Digital Applications implementation (min. 5 years)

Knowledge:

Statistics (Strong in application)

Machine Learning / Deep Learning / LLM / Agents (Strong in concepts)

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Industry Consultant (Manufacturing + Data Science)