Elevate Your Impact Through Innovation and Learning

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development and work-life balance.

About Data Analytics (DA)

Data Analytics is one of the highest growth practices within Evalueserve, providing rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines.

What You Will Be Doing At Evalueserve

We are looking for a person who can work in a dynamic environment for various clients across Supply Chain domain. The person will be responsible for solving complex data-intensive business problems by leveraging specialized tools and techniques for data analysis and modeling. Other key responsibilities include:
Leading client projects as well as gathering and understanding clients business requirements and designing / suggesting relevant analysis to meet these requirements
Carrying out analysis using clients databases, with the help of statistical tools such as Python and presenting the analysis in Excel (Pivots, Graphs), PowerPoint (presentation), or dashboards after adding relevant business insights
Mentoring and coaching junior colleagues in becoming successful analytics resources
Improving existing delivery processes and lead automation, where applicable
Providing thought leadership and technical advice on domain and methodological frameworks to team / project managers and clients
Supporting the management team in business development initiatives expanding solutions portfolio and offerings in supply chain and analytics domain
Engaging with business partners to ensure solutions are appropriate to existing business processes and level of readiness.

What We're Looking For

Master's degree in supply chain, operations, management, or related field.
At least 15 years of experience in the field of supply chain and data analytics, with direct client service exposure (served clients in a consultant or team leader capacity)
Strong domain knowledge in the area of Supply Chain and related concepts, such as, Network Optimization, Route Optimization, Inventory Optimization, Warehouse Optimization, etc.
Strong background in Data Science Machine Learning, Advanced Analytics, and similar concepts.
Statistical programming software experience in Python, or equivalent, and knowledge of analytics tools.
Exposure to advanced analytics and machine-learning methodologies, such as Regression (Linear, Logistic, etc.), Classification, Segmentation, Bayesian Models, and Time Series Analysis, and optimization techniques, such as, Linear Programming and MILP.
Knowledge of visualization platforms will be an added advantage
Strong verbal and written communication and presentation skills
Good understanding of economic, financial, and general business concepts and terminologies
Superior problem-solving, analytical, and quantitative skills
Entrepreneurial mindset, coupled with a can do attitude
Demonstrated ability to collaborate with cross-functional, cross-border teams and coach / mentor colleagues

Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.

Associate Director - Data Science

Director Data Science

Director - Data Science