Position Description:

The Artificial Intelligence and Machine Learning (AIML) group at Fractal Analytics are actively involved in helping Fortune 500 companies by enabling them to discover how they can leverage the data that they generate using advanced and sophisticated algorithms from Artificial Intelligence and Machine Learning. Additionally, the group is also involved in creating a rich and diverse IP portfolio within Artificial Intelligence, Machine Learning, and Big Data

The AIML group is looking for Data Scientists with the capability to perform independent statistical and machine learning research/ projects, with a focus on Text. As a data scientist, you will be involved in using state of the art machine learning algorithms and NLP techniques to solve challenging high-impact business problems. If you are a problem solver with a curiosity for exploring new techniques and technologies in AIML space, then we would like to talk with you.

Some of the attractive pluses of the job are:

The opportunity to work with a world class team of talented data scientists with a strong background in machine learning, and who are extremely passionate about solving real-world applied problems in the various business domains.

A real opportunity to expand your skill-sets and a chance to learn and use the latest advances and approaches in machine learning and data mining on real world datasets

Working at a fast-paced work-environment where you are expected to be self-motivated and are measured on your performance.

Job Responsibilities

Ability to understand a problem statement and implement solutions & techniques for solving natural language processing, text analytics, and information extraction problems, as well as structured data problems.

Work and collaborate with other teams to deliver and create value for clients

Fast learner: ability to learn and pick up a new language/tool/ platform quickly

Conceptualize, design and deliver high-quality solutions and insightful analysis

Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on advanced statistical and machine learning problems.

Ability to deliver AIML based solutions around a host of domains and problems, with some of them being: Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, and Clustering.

Experience Required:

Intermediate to expert level proficiency in at least one of Python and R

Ability to discover effective solutions to complex problems. Strong skills in data-structures and algorithms.

Experience of working on a project end-to-end: problem scoping, data gathering, EDA, modeling, insights, and visualizations

Problem-solving: Ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those

Intermediate to advanced knowledge of regular expressions, machine learning, probability theory, information theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches on a daily basis.

Knowledge of Text Mining and Natural Language Processing – word embeddings, constituency and dependency parsers, anaphora and word sense disambiguation, language models, topic models, SVD.

Besides this, we also use regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modeling, dimensionality reduction, SEM, GLM, GLMM, clustering etc. on a regular basis. If you know few of them you are good to go.

Good to Have:

Experience in using Deep Learning, NLG, conversational agents

The experience of working in on one or more domains: CPG: marketing analytics, voice of customer, chatbots, supply chain management BFSI: cross-sell, up-sell, campaign analytics, treasury analytics, fraud detection Healthcare: medical adherence, medical risk profiling, EHR data, fraud-waste-abuse

Experience in working with Linux computing environment and use of command line tools like sed/awk

Grasp at databases including RDBMS, NoSQL, MongoDB etc.

Knowledge of RDF, SPARQL

Education Qualification

B.Tech / M.Tech in Computer Science / Mathematics / Signal Processing or related fields from one of the premier Institutes (IITs/NITs/BITS)