Supply Chain Data Scientist

Avantor; Pune District; On-site; INR 1,600,000 - 2,800,000; Full time

Job summary

Avantor in Pune seeks a data science professional to apply advanced analytics to supply chain planning and inventory management, delivering financial value.

You will collaborate with global stakeholders, design, develop, and deploy analytical tools, optimization models, and simulations to support planning teams.

Qualifications

• Degree in Supply Chain Management or APICS CPIM; 5–7+ years in global supply chain.
• Data science certification or degree desirable.
• Formal PM and problem-solving training desirable, e.g., Six Sigma.

Responsibilities

• Focus on portfolio segmentation and replenishment strategies.
• Develop inventory optimization within the distribution network.
• Build planning tools to support decision making for planning teams.
• Collaborate with global stakeholders on improvement initiatives.

Skills

Project management

SC planning

SAP APO/IBP/OM Partners

SAP architecture

Statistical analysis

Excel & Power BI

SQL

Python/R

Education

Supply Chain Management degree

APICS CPIM certification

Project Management training

Tools

Excel

Power BI

SQL

Python

R

Snowflake

Job description

The Opportunity

JOB PURPOSE AND DECRIPTION

The purpose of this role is practical application of data science in supply chain planning and inventory management to improve underlaying processes and deliver financial value.

To succeed in this role, you must have multidisciplinary skill set - proven experience in project management and SC planning, knowledge of planning systems (SAP APO/IBP, OM Partners or similar), SAP architecture (underlying tables, transactions) and strong technical and analytical skills.

In this creative role you will have unique opportunity to collaborate with various stakeholders in the global organization working on various improvement initiatives, development of analytical tools, optimization models or supply chain simulations and you need to feel comfortable in each stage of this process (design, develop and deploy) to thrive and succeed.

You are self-starter with hands-on approach and continues improvement mindset working on your own initiative under moderate supervision. You know how to source and use data together with statistical methods and technology to improve processes. It is important you have theoretical knowledge but more important you understand how to use it in practice to add value.

Your nearest assignments will focus on portfolio segmentation, product life cycle management, development of replenishment strategies and inventory optimization within distribution network. All contributing to development of planning tool supporting decision making process for planning teams.

Job Purpose And Decription

The purpose of this role is practical application of data science in supply chain planning and inventory management to improve underlaying processes and deliver financial value.

To succeed in this role, you must have multidisciplinary skill set - proven experience in project management and SC planning, knowledge of planning systems (SAP APO/IBP, OM Partners or similar), SAP architecture (underlying tables, transactions) and strong technical and analytical skills.

In this creative role you will have unique opportunity to collaborate with various stakeholders in the global organization working on various improvement initiatives, development of analytical tools, optimization models or supply chain simulations and you need to feel comfortable in each stage of this process (design, develop and deploy) to thrive and succeed.

You are self-starter with hands-on approach and continues improvement mindset working on your own initiative under moderate supervision. You know how to source and use data together with statistical methods and technology to improve processes. It is important you have theoretical knowledge but more important you understand how to use it in practice to add value.

Your nearest assignments will focus on portfolio segmentation, product life cycle management, development of replenishment strategies and inventory optimization within distribution network. All contributing to development of planning tool supporting decision making process for planning teams.

Qualifications

• Degree in Supply Chain Management or APICS CPIM certification and 5-7+ years’ experience in Global Supply Chain and Inventory Management essential (multi-site, multi-region),
• Degree or certification in Data Science desirable,
• Formal Project Management and problem-solving training desirable, e.g., Six Sigma, Lean.

Knowledge Skills And Abilities

• Demonstrated ability to select and work with appropriate analytical tools and software (Excel, PBI, relevant libraries in R and Python or SQL) and build ETL pipelines,
• Demonstrated experience using AI-assisted development and automation tools, such as Codex, to accelerate data analysis, code development, documentation, troubleshooting, and creation of analytical tools while applying appropriate validation and governance,
• Ability to critically evaluate AI-generated outputs for accuracy, data quality, business relevance, bias, and operational feasibility before applying them to supply chain planning, inventory optimization, or decision-support processes,
• Demonstrated ability to analyze large data sets and visualize findings,
• Demonstrated ability to wrangle, cleanse and model data from various sources (SAP, .csv, .xlsx, .txt, .parquet, .rds, data lake etc.),
• Proficient in Excel and Power BI (Power Query/M, DAX, relational database model, data visualization); Power BI Data Analyst Associate certification is a plus,
• Knowledge of SQL and R/Python highly desirable,
• Experience working with data warehouse/data lake desirable (experience with Snowflake a plus),
• Knowledge of Statistics and Machine Learning or strong willingness to quickly develop in this area.

Demonstrated ability to analyze large data sets and to prioritise actions for maximum impact.

Ability to develop and deploy short-term tools and reporting capabilities (with quantified accuracy and precision) essential.

Solid written and verbal communication skills, experience in a matrix environment desirable.

Strong analytical skills

ENVIRONMENTAL WORKING CONDITIONS & PHYSICAL EFFORT

Typically works in an office environment with adequate lighting and ventilation and a normal range of temperature and noise level.

Work assignments are diversified. Examples of past precedent are used to resolve work problems.

Most aspects of work are timebound and fit into a standard reporting cycle based on the monthly financial reporting calendar. There is an ongoing requirement to work to deadlines and to manage competing priorities.

Minimal physical effort is required. Work is mostly sedentary but does require walking, standing, bending, reaching, lifting or carrying objects that typically weigh less than 10 lbs.

Disclaimer

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer.

Why Avantor?

Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science.

The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor.

We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world.

EEO Statement

We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at [e-mail] and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

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