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Friday, March 9, 2018

QUANTIPHI INC | DECISION SCIENCE INTERN (6 MONTHS) | MALAD


Job Description:
The Decision Science Intern will be a part of team, which is involved in client-facing engagements and 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
• Should possess knowledge of the fundamentals in machine learning, general statistics and data science principles
• Basic knowledge or 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
• Keen to work on applications such as: Collaborative Filtering, Personalization, Consumer Segmentation, Text Analytics, Information Retrieval, Search Relevance
• Good data management and statistical modeling skills will be add-ons: R, Mahout, Matlab, Python (SciPy, NumPy), SQL and Excel
• Strong problem solving and conceptual thinking, with ability to communicate even complex ideas in 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  

Required Qualification:
• Pursuing B.E./ B.Tech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IIIT/REC) in Computer Science/Statistics/IT/ECE stream.

Internship Tenure: 
6 months

Job Location:
Mumbai (Mindspace, Malad (W))

Seniority Level
Internship
Employment Type
Internship
About Company
Quantiphi provides data science technology and expertise to help organizations turn the big promise of Big-Data into Big results. We are founded on the belief that data is a company’s most valuable economic asset and analytics is the emerging path to value creation. We help our clients find and capture hidden value from data through a unique blend of business acumen, big-data integration, machine learning and intuitive decision support tools. Why choose Quantiphi? Experience - We have a growing team of data science professionals with expertise in Risk Management, Customer Acquisition and Retention, Supply-Chain Management, Service Management,Web Analytics and Health Informatics. Our experts have decades of collective track record in helping a wide range of clients gain new business insights through high-performance data science solutions in a variety of industries including Healthcare, Insurance, Capital Markets, Manufacturing, Travel, Telecommunications and Energy Management. Methodology - Our unique methodology helps clients build a clear line of sight to business value through a unique five step approach that enables them to: - discover 'killer' data science applications in their business model - search and uncover meaningful and rare patterns in their data - ask better questions and solve previously unsolved problems through advanced machine learning techniques - put new decision support tools in the hands decision makers to anticipate problems and improve outcomes - and do it in a way that is embedded, scalable and sustainable. We recognize that every client has unique challenges, circumstances and maturity across their data lifecycle. This leads to solutions which targeted and results that are measurable. If you want to break boundaries with your data science initiatives, working with us is a good start.

Note:   
1. Interested applicants can share updated resumes with Greeshma Ankad at  greeshma.ankad@quantiphi.com.
2.         Reference: Bhushan Talekar (Mention on your resume)
3.         The stipend will be provided as per company policies.

REGISTRATION LINK: Click Here

ALL THE BEST.

Regards,
VIVA PLACEMENT CELL
#sabkojobmilega - Bhushan Talekar

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3 comments:

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