Experience:
4-7 Years
Job Type:
Full Time
Location:
Gurugram
What we are looking for:
- Proficiency in most areas of mathematical and statistical analyses, machine learning, statistical modeling, and data visualization. (Hypothesis Testing, Regression analysis, econometric modeling, forecasting technique, ARIMA modeling, optimization, deep learning, etc.)
- Must have worked on large datasets as the consultant will be responsible for manipulating, extracting, transforming, and analyzing the large data to develop solutions and insights.
- Excellent problem-solving skills as well as critical thinking and conceptual thinking abilities.
- Expert in at least one coding language – preferably python.
- Knowledge on deep learning and AI tools, and their application in the Retail domain will be preferred.
- Experience in client facing roles will an added advantage.
- Team management experience.
Responsibilities:
- Conceptualize statistical modeling framework, define data requirement, create variables for model development and implementation.
- Manage end to end delivery including requirement gathering, solution design and business recommendation. Work closely with statisticians & other data science team members to develop solution framework – Identify statistical techniques, implementation mechanism.
- Analyze big data using statistics, econometrics, mathematics, operations research, and text mining techniques. Provide analytical architecture analysis, design, development, and enhancements.
- Building dynamic regression models, econometric models, elasticity modeling, forecasting techniques such as time-series modeling, building ARIMA models, and optimization are a few statistical techniques which will be worked on extensively.
- Finalize the list of variables for modeling based on business and technical aspects. Validate the model outcomes and align it with the business needs and implementation plan.
- Develop business insights based on the output of model relevant to business needs.
- Prepare the benchmarking report (technical report) to analyze and compare the results of different models/variables.
- Presentation of results to the management and discuss further opportunities within/outside the project.
You must be:
- A team player who likes to work hard and play harder, have excellent interpersonal, organizational and time-management skills
- Able to think strategically and analytically to effectively complete assigned work within given timelines
- Someone who possesses excellent written and oral communication skills and have an attention to detail
- A person with an ability to multi-task on multiple projects and tasks at the same time
- A person who gives importance to attention to detail and be highly organized
- Positive and upbeat with the ability to learn quickly
- Be able to laugh. At others and most importantly at yourself. Need a sense of humor
You can expect:
- A fast-paced, high-growth startup environment where you will gain a career and not just a job
- The company to invest in your personal and professional development. We support your ongoing education and training by reimbursing you for relevant educational courses
- An open office culture, no cabins or cubicles and a place that is looking for your input to help us grow
- The support of your teammates to always do better. Own it and win together!
- Exposure of International Retail market. Learn about a high growth industry and build critical skill-set
- Excellent employee referral program. Refer your friends, work with your friends and be awarded for it
- Work along with the smart, creative and energetic team who truly believe in ‘working hard and partying harder!’
Educational Requirement:
- Masters/Ph.D in statistics
Profectus Solutions is not accepting unsolicited resumes from search firms. All resumes submitted by search firms to any employee at Profectus Solutions via-email, the Internet or directly without a valid written search agreement will be deemed the sole property of Profectus Solutions, and no fee will be paid in the event the candidate is hired by Profectus Solutions.
Email your resume to careers@profectussolutions.co