Description:

Role - Senior Data Scientist - Global Analytics Team

Location - Ahmedabad

- Apply only if you hold a graduation degree from an IIT or NIT.

- An IIM masters degree will be an added advantage.

- As a driver of innovation, Viega is one of the most important technological leaders in the installation industry.

- With our commitment to the highest quality, we develop intelligent systems and connected solutions.

- For us, it is about far more than supplying piping systems.

- We see it as our mission to transform spaces into living spaces - more comfortable.

- Smarter.

- Safer.

- More sustainable.

We are building a Data Analytics capability in India that collaborates closely with international teams.

As part of our digital transformation, we are strengthening our data and analytics capabilities to enable more AI-powered, data-driven decision making across our global organization.

Role :

- As a Data Scientist, your focus will be to analyze complex datasets, develop analytical models, and create scalable analytics solutions that support strategic and operational decision-making.

- You will work closely with our Global Strategy Team (dotted-line reporting) to support key strategic and operational activities such as business reviews, strategic initiatives and our planning processes.

- You will work with a variety of data sources including ERP systems (e.g., SAP), CRM platforms (e.g., Salesforce), cloud data platforms such as Snowflake or Azure, and external market datasets.

- The role combines strong technical data science work with collaboration across functions such as sales, strategy, corporate planning, procurement and operations.

- You will have the chance to shape this capability at Viega as we are committed to ramp up this team to up to 3 team members in mid-term.

- You will be based in Ahmedabad.

- During your onboarding you will meet key people across our international markets as well as in our Corporate HQ in Germany.

Typical Responsibilities:

- Analyze large and complex datasets from internal and external sources

- Develop statistical models, predictive analytics, and advanced data analyses

- Leverage state-of-the-art AI and machine learning techniques to enhance analytics capabilities

- Build and maintain structured datasets and data pipelines for scalable analysis

- Identify patterns and trends in sales, market, and operational data

- Create dashboards and visualizations to support data-driven decision-making

- Collaborate with international teams (Sales, Strategy, Product Management, IT, Procurement) and provide analytical insights to global stakeholders

- Contribute to scalable analytics use cases across the organization

- Proactively identify opportunities where data and analytics can create business value

- Take ownership of analytical problems end-to-end from problem framing to delivering actionable insights

Requirements for the Role:

Technical / Data Science Skills (Primary Focus):

- Relevant 5+ years' experience in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.

- Strong programming skills in Python and/or R

- Advanced proficiency in SQL and data manipulation

- Experience working with large enterprise datasets such as SAP, ERP platforms, Snowflake, Azure, CRM systems (e.g., Salesforce), or similar

- Knowledge of statistical analysis, machine learning techniques, and data modeling

- Experience with data visualization tools such as Power BI or similar

- Familiarity with data pipelines, ETL processes, and modern data environments

- MBA degree preferred but not mandatory

Analytical & Problem-Solving Skills:

- Strong analytical mindset and structured problem-solving capabilities

- Translate complex datasets into clear insights to enable actionable recommendations

- Curiosity to explore data and uncover patterns, trends, and opportunities

- Ability to work with imperfect or fragmented datasets and derive value from them

- Ability to work in environments where problems are not always fully defined

- Pragmatic approach to solving complex problems with a can-do attitude

Business Understanding (Secondary Focus):

- Interest in translating business questions into analytical solutions

- Ability to communicate data insights to non-technical stakeholders

- Interest in industries such as construction, manufacturing, or infrastructure is a plus

- Experience collaborating with cross-functional or international teams