Quantiphi - Data/Decision Science Analyst Role

About Quantiphi:

Quantiphi is a category-defining Data Science and Machine Learning software and services company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are trans-formative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design. For more details, visit: www.quantiphi.com.

Job Description:

The Decision Science Analyst 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 in machine learning, general statistics and data science principles

- 1-4 years of 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

- Experience in some of these applications: Collaborative Filtering, Personalization, Consumer Segmentation, Text Analytics, Information Retrieval, Search Relevance

- Good exposure on Machine Learning & Deep Learning

- Solid data management and statistical modeling skills: 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 from orientation, being team player

- Candidate should be comfortable with working with client's office

Qualifications:

- BE/BTech from Tier 1/2 colleges

- MS or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent

- Projects/Courses/relevant work experience in Data Science Required