Data Scientist(8-10 Years)

2 weeks ago

navi mumbai, India Enterprise Minds, Inc Full time
About the job
About Company -
Enterprise Minds, with a core focus on Product, Automation and Intelligence Engineering, partners customers on the trajectory towards increasing outcomes, relevance, and growth. Harnessing the power of Data and the forces that define and shape AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities.
Experience -
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, analysis 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 and algorithms, and evaluates 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.
Analyze large amounts of information to discover trends and patterns.
Industry
Preferably from a technology, ITES, products, or professional SI organization with a focus on BFSI.
Experience
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 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, or professional SI organization with a focus on BFSI. Responsibilities.

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