Data Scientist Specialist at Vertiv

Pune City, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

22 Apr, 26

Salary

0.0

Posted On

22 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Apache Spark, ETL, Data Warehousing, PostgreSQL, MySQL, MongoDB, AWS, GCP, Azure, Machine Learning, Statistics, Data Engineering, Data Modeling, Project Management

Industry

electrical;Appliances;and Electronics Manufacturing

Description

Vertiv is looking for a Data Engineer to build and manage the data infrastructure that powers our smart manufacturing and IoT initiatives for the switchgear and busway business. This position will lead the design, development, and deployment of scalable data pipelines, sourcing mission-critical data from our global network of manufacturing sites and IoT-enabled products. You will be responsible for creating a unified, reliable data foundation that enables advanced analytics, machine learning, and business intelligence to drive operational excellence and innovation across Vertiv. RESPONSIBILITIES Programming & Scripting: Python (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow), R, SQL Data Engineering & Big Data: Apache Spark, ETL/ELT pipeline architecture, data warehousing Databases: Relational (PostgreSQL, MySQL) and NoSQL (MongoDB) Cloud Platforms: AWS (S3, SageMaker), Google Cloud Platform (GCP - BigQuery, Vertex AI), Azure Machine Learning: Regression, Classification, Clustering, NLP, Time-Series Forecasting Statistics: Hypothesis Testing, Experimental Design, Bayesian & Frequentist methods Architect, build, and maintain robust and scalable ETL/ELT data pipelines to process structured and unstructured data from diverse sources including Manufacturing Execution Systems (MES), ERPs, quality control systems, and IoT sensor streams. Design and implement a centralized cloud data platform (data warehouse/data lake) to serve as the single source of truth for all manufacturing and operational data. Evaluate, select, and deploy modern data stack technologies (e.g., cloud data warehouses, orchestration tools like Airflow/Prefect, transformation tools like dbt) to establish a best-in-class data infrastructure. Develop and enforce data engineering “best practices” for data quality, monitoring, logging, data governance, and CI/CD for data pipelines to ensure reliability and trust in the data. Collaborate closely with data scientists, BI analysts, and manufacturing stakeholders to understand data requirements and deliver production-grade datasets optimized for analytics and machine learning models. Design and implement standardized data models and schemas to ensure data consistency across the global organization, enabling meaningful cross-plant analysis. Automate manual data processes and optimize data pipeline performance to decrease data latency, improve data availability, and maximize the ROI of our data assets. Skills Expert-level proficiency in SQL and a programming language such as Python or Scala. Hands-on experience with a major cloud platform (AWS, Azure, or GCP) and its associated data services (e.g., AWS Glue/Redshift, Azure Data Factory/Synapse, GCP BigQuery). Experience with modern data orchestration and transformation tools (e.g., Airflow, dbt, Prefect). Strong understanding of data warehousing concepts, data modeling, and database architecture (both relational and NoSQL). Experience working with manufacturing data (MES, SCADA), supply chain data, or high-volume IoT streaming data (e.g., using Kafka, Kinesis). Partner with others and foster teamwork, with a “can do” positive attitude and self-motivation. Manage multiple priorities while working collaboratively! Results-driven and detail oriented. EDUCATION AND CERTIFICATIONS Bachelor’s degree in engineering – Mechanical Engineering, Electrical Engineering, Industrial Engineering, Automation technology or related Strong Lean Manufacturing & VSM experience, 5-7 years. Strong knowledge of advanced manufacturing technologies, such as automation, robotics, and additive manufacturing Proven track record of driving operational excellence and process improvements Strong analytical and problem-solving skills Ability to work effectively in cross-functional teams Expertise in implementing advanced manufacturing technologies + automation and processes Ability to think strategically and drive change in a dynamic environment Strong project management skills Knowledge of industry best practices and emerging trends in advanced manufacturing PHYSICAL REQUIREMENTS No Special Physical Requirements ENVIRONMENTAL DEMANDS No Special Requirements TRAVEL TIME REQUIRED 25% Work Authorization No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. Equal Opportunity Employer We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.

Responsibilities

The Data Scientist Specialist will lead the design, development, and deployment of scalable data pipelines and create a unified data foundation for advanced analytics. Responsibilities include building ETL/ELT data pipelines, implementing a centralized cloud data platform, and collaborating with stakeholders to optimize datasets for analytics.