Sr. Consultant

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Employment Type: Full time

Experience: 4-8 years

Summary of Job

We are seeking an experienced analytics professional and smart leader to oversee analytics on our native SaaS (Software as a Service) based suite of products (NAVIK) and a collection of analytics-based micro-services (NAVIK AI Platform). This role will essentially involve influencing product strategy through data-driven insights and A/B testing efforts focused on improving business impact through our products. The ideal candidate will be intellectually curious, independent, highly analytic, and finds problem solving exhilarating. She/he will be able to thrive with a high rate of change, while working with multi-faceted data. She/he will report to the Engagement Manager of Products and Innovation.

MINIMUM QUALIFICATIONS & EXPERIENCE

• 4-8 years of rich experience in implementing Machine/Statistical Learning solutions to complex business problems at scale
• Rich experience in various Machine Learning techniques like Regression, Classification, Ensemble of Decision Trees (Bagging, Boosting, Random Forest etc.), Support Vector Machines, Artificial Neural Networks, Clustering, Dimension Reduction etc.
• Intermediate-level proficiency (coding, scripting and prototyping skills) in Python or R

DESIRED QUALIFICATIONS & EXPERIENCE

• Bachelor’s/Master’s degree in Computer Science OR Master’s degree in Statistics/Economics/Business Economics/Econometrics/Operations Research
• Experience in implementing the advanced techniques/methods like Recommender Systems (Collaborative Filtering, Matrix Factorization etc.), Association Rule Learning, Convolutional Neural Network, Recurrent Neural Network, Natural Language Processing (NLP), Reinforcement Learning (RL), Time-series Analysis and Bayesian methods
• Experience in productionizing the machine learning models for analytics-based SaaS (Software as a Service) products
• Familiarity with A/B site testing and evaluation
• Expert-level proficiency (good coding, scripting and prototyping skills) in Python or R or both
• Fair understanding of distributed computing in clusters, especially using R/Python
• Knowledge and familiarity with the Big Data stack: Hadoop, Hive, Spark, Map Reduce and other Big Data tools and technologies
• Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, and AWS CLI)
• Understanding of database management systems like those of RDBMS, NoSQL, MongoDB etc.
• Knowledge of one or more domains: Telecommunication, Consumer Electronics, CPG, Online Media, BFSI, Healthcare, Logistics, Manufacturing etc.

Specific Responsibilities

• Conceptualize, design and deliver high-quality solutions and insightful analysis on a variety of projects ranging in both complexity and scope
• Conduct research and prototyping innovations, data and requirements acquisition, solution scoping and architecture, consulting clients or client-facing teams on advanced statistical/machine learning problems
• Conduct analytic deep-dives of critical business issues that impact performance and translate the analyses into actionable recommendations
• Collaborate with product managers in defining clear business problems and corresponding metric definition, and communicate performance analysis, findings and recommendations
• Partner with Data Engineering, Frontend Engineering and Web Design teams to collaborate and improve the product solutions
• Lead and groom the pool of data scientists for solving complex problems using data science
• Manage the development of NAVIK suite of products and NAVIK AI Platform.