Sr. Data Science Consultant

Circana (formerly IRI and NPD) is the leading advisor on the complexity of consumer behavior. Through unparalleled technology, advanced analytics, cross-industry data, and deep expertise, we provide clarity that helps almost 7,000 of the world’s leading brands and retailers take action and unlock business growth. We understand more about the complete consumer, the complete store, and the complete wallet so our clients can go beyond the data to apply insights, ignite innovation, meet consumer demand, and outpace the competition.
Apply and design best-in-class methodologies and statistical algorithms to answer business questions.
Build and maintain modeling engines for Circana analytics platforms using various tools, such as Python, R, SQL, Spark, etc.
Utilize advanced computations/statistics and machine learning/AI methodologies.
Partner with cross-functional teams (e.g., Technology, Product, etc.) to build analytical solutions for some of the largest retailers and manufacturers in the world, utilizing granular data at scale.
Document and present methodologies to internal and external stakeholders
Job Responsibilities
Develop processes to extract data across a multitude of platforms
Use Hive, R, SQL, Python to write, validate and maintain code to support research and data analyses
Define and lead customized research projects to develop and enhance Circana methodologies and algorithms
Maintain codebase for newly developed systems.
Document processes and procedures
Independently investigate and resolve production and client data issues
Provide accurate and timely data analysis and methodology support focused on internal and external client requests
Present research findings to internal clients.
Post graduate degree in Economics, Statistics, Mathematics, Operations Research, Quantitative Analysis, or related field
5-7 years of work experience in Marketing Mix
Strong statistical and quantitative analysis skills. Knowledge of Statistical Analysis techniques which are used in Marketing analytics.
Functional Responsibilities
Evaluate different statistical approaches for developing the analytical solution. Candidate should be well versed in executing statistical models on Regression, Marketing Mix Modeling, Factor analysis, Cluster analysis, Text based mining, and similar modeling approaches.
Evaluate model effectiveness and ability to translate the statistical requirements into excel based examples.
Candidate should be proficient in writing good code in Python and PySpark.
Proficient with manipulating big data using Python, SQL. A high comfort level with data manipulation and extraction of meaningful insights from large data and prior experience of working with large data is a plus.
Candidate should have good working knowledge on AI/ML and should have applied these techniques in some of their recent projects
Excellent data interpretation skills. Experience in using charting/reporting
Being creative in identifying new techniques and processes to streamline and increase efficiency and effectiveness of current work-streams is a plus.
High level of attention to detail and problem solving
Should have basic knowledge of market research & any specific knowledge on Media marketing and FMCG/CPG/Pharma industry will be an added advantage.
Knowledge on Retailer loyalty card data/Store transaction level data will be a plus.
At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment to diversity, equity, and inclusion as we believe in the undeniable strength that diversity brings to our business, employees, clients, and communities (with us you can always bring your full self to work). Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together.