채용
Benefits & Perks
•Mental Health
•Volunteer Time Off
•Learning Budget
•Mental Health
•Learning
Required Skills
Python
R
SQL
Machine Learning
Statistics
Data Visualization
Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.
We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us!
Job Description:
Job Title: Analyst
- Data Science
Location:Pune,India
Job Summary
We are seeking a Data Science Analyst to engineer and develop advanced analytics solutions. You will have2or more years of experience and specialization in applying data science techniques to real-world business problems across industries such as healthcare, retail, manufacturing, or technology.
You will be based in Balewadi, Pune and will work in hybrid. You will report to the Manager, Software Engineering.
Your responsibilities :
-
Client Engagement & Delivery
-
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.
-
Technical Expertise
-
Develop predictive models, optimization algorithms, and statistical analyses.
-
Data preparation, feature engineering, model selection, validation, and deployment.
-
Use tools like Python, R, SQL, Spark, or cloud ML services (AWS/GCP/Azure).
The Essentials
You Will Have:
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related fields.
- 2+ 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 is recommended).
- Excellent communication, presentation, and consulting skills.
- Experience in solving complex business problems with data.
Also good to have:
- Exposure to multiple domains (e.g., manufacturing, supply chain, healthcare).
- Experience with BI tools like Power BI, Tableau, Grafana etc
- Knowledge of generative AI, LLMs, or recent advancements in deep learning.
- Project management or consulting experience with top-tier firms.
What We Offer:
Our benefits package includes …
- Comprehensive mindfulness programs with a premium membership to Calm
- Volunteer Paid Time off available after 6 months of employment for eligible employees
- Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
- Employee Assistance Program
- Personalized wellbeing programs through our On Track program
- On-demand digital course library for professional development
... and other local benefits!
#Hybrid
Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.
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About Rockwell Automation
Reviews
4.0
27 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
4.1
Career
4.1
Management
3.7
86%
Recommend to a Friend
Pros
Cutting-edge technology stack and interesting technical challenges
Competitive compensation packages with equity
Strong engineering culture with focus on code quality
Cons
Fast-paced environment with tight deadlines
Internal politics in some teams
Work-life balance can be challenging during product launches
Salary Ranges
14 data points
Junior/L3
Mid/L4
Junior/L3 · Business Analyst
0 reports
$116,415
total / year
Base
$116,415
Stock
-
Bonus
-
$98,953
$133,877
Interview Experience
3 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
33%
Experience
Positive 33%
Neutral 67%
Negative 0%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Coding/Algorithm
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