Lead Data Scientist
HumanaSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Manufacturing, TechnologyIndustries
Requirements
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related fields
- 12+ years of relevant experience in data science, machine learning, or AI roles
- Strong foundation in statistics, ML algorithms, NLP, deep learning, or operations research
- Hands-on expertise with Python (scikit-learn, pandas, numpy), R, SQL, and data visualization tools
- Experience working with big data frameworks like Spark, Hadoop, or cloud-native tools
- Proficiency in deploying models into production environments (MLOps recommended)
- Experience in solving complex business problems with data
Responsibilities
- Understand client business challenges and propose end-to-end AI/ML/data science solutions
- Lead client-facing engagements, presenting analytical findings and business recommendations
- Translate business requirements into technical deliverables and measurable outcomes
- Architect and develop predictive models, optimization algorithms, and statistical analyses
- Oversee data preparation, feature engineering, model selection, validation, and deployment
- Use tools like Python, R, SQL, Spark, or cloud ML services (AWS/GCP/Azure)
- Contribute to the development of analytics strategy and roadmap for enterprise clients
- Identify and drive opportunities for AI/ML adoption across business functions
- Stay abreast of emerging technologies and techniques in AI, ML, and data platforms
- Drive projects on cutting-edge DS technologies such as Computer Vision, Generative AI, Agentic AI etc
- Contribute to business development initiatives such as RFP, PoC, workshops etc
- Mentor and guide data scientists and analysts on best practices and solution delivery
- Conduct code reviews, share technical knowledge, and lead internal capability-building programs
- Manage timelines, deliverables, and quality for complex analytics projects
- Collaborate with cross-functional teams including business, engineering, IT and domain expertise
- Present high quality insights and recommendations to clients
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the location and work arrangement for this role?
The position is based in Balewadi, Pune, India, and operates in a hybrid work model.
What experience level is required for the Data Science Manager position?
Candidates need 12 or more years of experience with specialization in applying data science techniques to real-world business problems across industries.
What technical skills and tools are required for this role?
The role requires architecting predictive models, optimization algorithms, and statistical analyses using tools like Python, R, SQL, Spark, or cloud ML services (AWS/GCP/Azure), along with experience in cutting-edge technologies such as Computer Vision, Generative AI, and Agentic AI.
What is the salary or compensation for this position?
This information is not specified in the job description.
What education and qualifications are needed to apply?
A Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related fields is required, along with 12+ years of relevant experience in data science, machine learning, or AI roles.
Rockwell Automation
Industrial automation and information technology solutions
About Rockwell Automation
Rockwell Automation provides hardware, software, and services aimed at improving operational efficiency and sustainability in various industries, including manufacturing and food and beverage. Their products work by integrating advanced technology to streamline processes, enhance reliability, and reduce operational costs. This includes alarm notification software, cybersecurity solutions, and computerized maintenance management systems. What sets Rockwell Automation apart from competitors is their strong emphasis on sustainability and tailored solutions for specific industry needs, helping clients meet environmental standards and improve productivity. The company's goal is to drive better outcomes for clients through technological innovation and comprehensive support.
Milwaukee, WisconsinHeadquarters
1903Year Founded
$39.1MTotal Funding
IPOCompany Stage
Industrial & Manufacturing, Enterprise Software, CybersecurityIndustries
10,001+Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
401(k) Company Match
Paid Vacation
Paid Holidays
Paid Time off
Parental Leave
Caregiver Leave
Flexible Work Hours
Risks
Emerging AI-driven automation companies threaten Rockwell's market share with competitive solutions.
Rapid AI advancements may outpace Rockwell's offerings, requiring significant R&D investment.
Supply chain vulnerabilities, especially in semiconductors, could disrupt Rockwell's production schedules.
Differentiation
Rockwell Automation integrates cutting-edge technology to enhance operational efficiency and sustainability.
The company offers tailored solutions for diverse industries, including manufacturing and food and beverage.
Rockwell Automation emphasizes sustainability, helping clients meet environmental standards and consumer demands.
Upsides
Increased adoption of AI-driven predictive maintenance aligns with Rockwell's focus on operational efficiency.
The rise of Industry 4.0 technologies drives demand for Rockwell's integrated automation solutions.
Growing digital twin technology market offers expansion opportunities for Rockwell's software offerings.
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