Data Scientist

4 weeks ago

Bengaluru, Karnataka, India ABB Full time
Data ScientistTake your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future.

At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.

You will be working as Data Scientist at global grade 14 will be reporting to Data Analytics & BI Manager & will be a part of Bangalore, India. In this role you will be primarily responsible for delivering and implementing analytics strategy in one or more functional areas in alignment business stakeholders. Leveraging knowledge of advanced analytics to make business impact. Building and maintaining large-scale statistical models that turn billions of data points into insights and actions. Driving data-driven strategy and decision making for predictive analytics and optimization by leveraging AI and machine learning

Your responsibilities
  • Partnering with cross-functional and global teams to lead projects solving complex business problems using data science and advanced analytics to frame right questions and predict trends
  • Owning complete lifecycle of analytics project from requirement gathering, data extraction to reporting/ presenting the findings in IC role or with the team as per project needs
  • Using mathematics and business acumen to proactively work on methodologies and frameworks to connect business and people data together to identify and solve complex business problems and deliver impact on ABBs people experience, performance and culture
  • Developing interpret algorithms models knowledge in programming ML languages like Python, R and Snowflake & effectively using data mining algorithms such as clustering, decision trees, logistic regression, ARMIA, Bayesian networks, neural networks etc
  • Applying appropriate techniques, such as exploratory data analysis, regression, bootstrapping, trees, cluster analysis, survival analysis, forecasting techniques and developing statistical models to support HR Analytics offerings and solutions
  • Working on advanced statistical models to measure and improve on-going performance of employee metrics using unstructured data using NoSQL or Data lakes & Developing frameworks, plug n play solutions using predictive and machine learning techniques on Snowflake/ Python
  • Working with senior stakeholders to help them conceptualize People KPIs and build solutions from scratch, and have a strong bias towards creating clean, powerful, user-focused visualizations to deliver insights and analysis. Technologies used could vary from Power BI, Advanced Excel, VBA, or any other new technology
Your background
  • Bachelor's/Master's degree in Applied Statistics/Mathematics, Engineering, Operations Research or related field. Understanding of SAP/ Workday HCM system is an added advantage
  • 2 – 4 years experience of developing end-to-end Decision Science solutions, ETL and reporting & data analysis as well as building data models for sentiment analysis using NLP and other text analysis technique
  • Should be able to generate actionable insights from data analysis that translate to valuable business decisions for the client & must have programing and coding experience in R, Python or MS Azure
  • Must have experience in Machine Learning, AI and Natural Language Processing & understanding of SDLC, ETL
  • Strong experience in finding data patterns and storytelling from disconnected data & business consulting experience will be good
More about us

ABB's shared services organization which delivers operational and expert services in Finance, Human Resources, Information Systems, Legal, Global Travel Services and external Customer Contact Centers. With employees based in five main hubs and front offices, HR Services provides mainly Business services to ABB teams across the globe as well as supports with external customer inquiries.

We look forward to receiving your application (documents submitted in English are appreciated). If you want to discover more about ABB, take another look at our website

Work model: on site #LI-onsite

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