Data Scientist

Role & responsibilities

• He/she will be a technical hands on / delivery role responsible for executing challenging and complex data science and engineering projects
• Technically lead a team of data scientists and engineers for expert technical vision, analytical and business intelligence
• Responsible for data science professional design, development and deployment in the use of modern data science tools.
• Performs deep analyses, builds models/ algorithms and evaluate the models to understand business objectives.
• Analyse large amount of raw information to find patterns, build data products and models to extract valuable business insights.
• Build, develop, coach and lead a team of data professionals in the area of Data Engineering, Business Intelligence, Analytics, Data Science, Experimentation, AI & ML.
• Perform statistical and exploratory data analysis
• Research and build appropriate Ai/ML algorithms and review the (code) implementation of team members
• Identify valuable data sources and architect/automate ETL strategies
• Develop and maintain optimal data pipeline architecture
• Analyse large amounts of information to discover trends and patterns

Preferred candidate profile

• Bachelors degree in engineering OR bachelors degree in quantitative field (mathematics, quantitative methods, computer science, engineering, etc.)
• Masters degree in engineering is preferred

• 8 - 10 years of total relevant experience with hands-on programming skills in Python, R, etc.
• Experience on minimum End to End production rollouts / implementations of Data Science and analytics projects
• Minimum of 4 years in technical execution roles in Data Science, Data Analytics & Machine Learning projects.
• Experience on Deep learning techniques (Sentiment Analysis, Text Mining, Entity Extraction, Document Classification, Topic Modelling, Natural Language Understanding (NLU) and Natural Language Generation (NLG)).
• Experience in Web Scraping or data extraction through Selenium / Scrapy or other frameworks and related libraries. Knowledge of advanced scraping techniques (like overcoming captcha, proxy, browser fingerprinting, bot detection bypassing, etc)
• Experience on Working knowledge in various DBs (MySQL, HBase, MongoDB), message queues & Web Restful APIs.
• Expertise in open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, gensim, LingPipe, Keras, Tensorflow, Mallet, ML/math toolkits such as scikit-learn, MLlib, Theano, NumPy, etc.
• Experience of development, testing & deployment of Machine learning/deep learning projects in the on premise /cloud platforms.
• Experience in diverse Data Science modelling including deep learning and reinforced learning.
• Experience on ETL tools like Talend, Data stage
• Experience in Big Data and related technologies: Map/Reduce, Hadoop, Hive, Spark, SQL, Mongo DB, HDFS etc.
• Experience in Analytics - Reports and Dashboards Industry Preferably from a Technology, ITES, Products, Professional SI organization with a focus on BFSI.

Certifications - Data Science, Data Analytics, Big Data Certifications are preferred

Perks and benefits