Data Scientist – People Analytics

ABB

Data Scientist leveraging analytics for talent and performance planning at ABB. Collaborating globally to manage complex business problem-solving projects with advanced machine learning techniques.

Posted 7/29/2026full-timeBangalore • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in developing advanced statistical and machine learning models, leveraging programming languages such as Python and R, and translating complex data into actionable insights through effective visualization techniques. Strong understanding of data management processes including SDLC and ETL, with a focus on workforce analytics and employee experience.

Highest-signal resume keywords

Machine LearningNatural Language ProcessingData VisualizationStatistical AnalysisProgramming in Python or R

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingMachine LearningData ExtractionData AnalysisPredictive ModelingETL ProcessesData ManagementData MiningDecision TreesRegression Analysis

Soft Skills

Quantitative SkillsInitiativeCommunication SkillsProblem-SolvingNarrative Crafting

Tools & Technologies

Power BIAdvanced ExcelVBASnowflakeNoSQLData LakesMS AzureSAPWorkday HCM

Industry Keywords

Analytics ProjectsWorkforce PerformanceCultural DevelopmentEmployee ExperienceData Patterns

Tech Stack

Tools & technologies

AzureETLNoSQLPythonSDLCVBA

About the role

Key responsibilities & impact

Partner with cross-functional and global teams to lead analytics projects that solve complex business problems, managing the end-to-end lifecycle from requirement gathering and data extraction to analysis and presenting insights.
Develop advanced statistical and machine learning models using techniques such as regression, clustering, forecasting, decision trees, neural networks, and other data mining methods to generate actionable insights.
Leverage programming languages and platforms such as Python, R, Snowflake, NoSQL, and data lakes to build predictive models, scalable frameworks, and machine learning solutions.
Translate people and business data into meaningful insights by defining People KPIs and creating impactful visualizations using tools such as Power BI, Advanced Excel, VBA, and other analytics technologies.
Oversee strategic analytics projects focused on workforce performance, cultural development, and employee experience, applying NLP and deep learning techniques to interpret unstructured data and deliver creative outcomes.

Requirements

What you’ll need

Demonstrate initiative, solid quantitative skills, and comfort working with large datasets to extract insights that support strategic decision-making.
Demonstrate programming and coding experience in R, Python, or MS Azure for analytics and data science solutions.
Possess practical experience with Machine Learning, Artificial Intelligence, and Natural Language Processing.
Understand concepts related to SDLC and ETL processes involved in data management and analytics projects.
Demonstrate a high level of skill in recognizing data patterns and crafting persuasive narratives from fragmented or complex datasets.
Experience developing end-to-end decision science solutions including data modeling, ETL, and reporting, with consulting exposure.
Have a Bachelor's or Master's degree in Applied Statistics, Mathematics, Engineering, Operations Research, or a related area, along with proficient English communication, quantitative, and technical skills; knowledge of SAP or Workday HCM systems would be beneficial.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities