Consultant / Manager-Merchandising Analytics

Location: Mumbai
Discipline: Data Science/Machine Learning
Job type: Permanent
Contact name: Manisha Jha

Contact email: manisha.jha@crescendogroup.in
Job ref: 40339
Published: 6 days ago

Decision Science Manager(Diversity Only)- (9+ Years)-Multiple Locations

Location: Gurugram, Bangalore, Mumbai

Your future employer:

It is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions it works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, it drives innovation to improve the way the world works and lives.

 

Your Role:

  1. Working through the phases of project
    • Define data requirements for Data Driven Merchandizing capability.
    • Clean, aggregate, analyze, interpret data, and carry out data quality analysis.
    • Knowledge of price/discount elasticity estimation.
    • Experience in working with non-linear optimization techniques.
    • Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability.
    • Hands on experience in state space modeling and mixed effect regression.
    • Development of AI/ML models in Azure ML tech stack.
    • Develop and Manage data pipelines.
    • Develop and Manage Data within different layers of Snowflake environment.
    • Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models.
    • Working knowledge of Price/Promo optimization.
  2. Well versed with creating insights presentations and client ready decks.
  3. Should be able to mentor and guide a team of 10-15 people under him/her.
  4. Manage client relationships and expectations and communicate insights and recommendations effectively.
  5. Capability building and thought leadership.
  6. Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials.
  7. Task Management – Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress.

Who we are looking for?

  1. Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record
  2. Must have at least 8+ years of work experience in Marketing analytics with a reputed organization.
  3. 5+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients.
  4. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil /Ph.D in statistics/econometrics or related field from reputed college
  5. Must have knowledge of SQL, R and Python language and at-least one cloud-based technology (Azure, AWS, GCP)
  6. Must have knowledge of building price/discount elasticity models and conduct non-linear optimization.
  7. Must have good knowledge of state space & mixed-effect modeling techniques and optimization algorithms and applicability to industry data
  8. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes
  9. Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark.
  10. Proficient in Excel, MS word, PowerPoint, etc.
  11. Strong client and team management and planning of large-scale projects with risk assessment.

What is in it for you?

  1. An opportunity to work on transformative projects with key G2000 clients
  2. As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.
  3. Company will continually invest in your learning and growth. You'll work with Data Driven Merchandizing experts, and company will support you in growing your own tech stack and certifications.
  4. In S&C GN - Data & AI you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.
  5. Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization.

Reach Us:

If you think this is the right opportunity for you, feel free to apply or forward your application with your updated resume at Manisha.jha@crescendogroup.in for further discussions.

Disclaimer:

Crescendo Global is an ISO 9001:2015 certified Leadership Hiring consulting arm of Crescendo Group with expertise in mid to senior level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, colour, origin, gender, sexual orientation, age, marital status, veteran status or disability status.

Keywords: Crescendo Global, Crescendo, Jobs in India, Jobs in Bangalore, Jobs in Gurgaon, Jobs in Mumbai, Jobs in Marketing Analytics, Jobs in Merchandising Analytics, Jobs in Retail Analytics, Jobs in SQL, Jobs in R/Python

 

SQL, R, Python, Marketing Analytics, Merchandising Analytics