Responsibilities :
The Data Scientist will lead client-facing engagements aimed at solving clients most challenging business problems through the use of inspired analytics; the assembly and integration of disparate data sources, application of machine learning methods and impactful interpretation and communication of key insights through intuitive visualization and decision support tools.
Desired Profile :
- Strong fundamentals of machine learning, general statistics and data science principles
- Experience with some of these methods: Regression, Decision Trees, CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Fuzzy Systems, Bayesian Belief Networks, Support Vector Machines, Ensemble Methods, Association Rules, Singular Value Decomposition, Principal Component Analysis, Clustering, Artificial Intelligence, Deep learning etc
- Experience in some of these applications: Collaborative Filtering, Personalization, Consumer Segmentation, Text Analytics, Information Retrieval, Search Relevance
- Solid data management and statistical modelling skills: SAS, R, Mahout, Matlab, Python (SciPy, NumPy), SQL and Excel
- Strong problem solving and conceptual thinking, with ability to communicate even complex ideas in a succinct manner
- Critical eye for the quality of data and strong desire to get it right
- Ability to work in a fast-paced and deadline driven environment
- Strong work ethics like sense of collaboration and ownership, result orientation, being team player
- Candidate should be comfortable with working from clients- office
Qualifications :
- B.E./B.Tech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IIIT/REC) in Computer Science/Statistics/IT/ECE stream
- M.S. or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent
- Minimum 4+ years of relevant work experience in Data Science
Requirement :
- 4+ years of IT experience in data-driven or AI technology products
- Hands-on expertise on analytical tools like R, SAS, Tableau, Excel.
- Excellent communication, interpersonal and managerial skills
- Ability to work with minimal supervision in a dynamic and timeline sensitive work environment
- Team management experience is must
- Work collaboratively with the Founders and Accounts Leads in terms of project execution and timelines.
- Experience in decision science tools and techniques will be added advantage.
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