Lead Data Scientist

Logicloop logo


View Salaries, Reviews, and more  

Job Description

• 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. 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 .

Interview Questions of Lead Data Scientist at Logicloop

Currently, there aren't any interview questions for this role at Logicloop shared by other job seekers.
View more interview questions of similar roles from other companies →
banner icon
Prepare For Your Interview in 1 Week?
Equip yourself with possible questions that interviewers might ask you, based on your work experience and job description.
Get Started!

Salary Insights of Lead Data Scientist at Logicloop

Currently, there aren't any salaries for this role at Logicloop shared by other job seekers.

View more salaries from Logicloop →

Achieve your dream job with our top-notch tools!

Resume Checker Illustration

Resume Checker

Our free resume checker analyzes the job description and identifies important keywords and skills missing from your resume in just a minute!

Check Now
Interview Preparation Illustration

AI InterviewPrep

Utilizing advanced AI, our tool generates tailored interview questions based on your industry, role, and experience. Practice and receive feedback on your answers in real time!

Check Now
Resume Builder Illustration

Resume Builder

Let us show you the differences between a bad, good, and great resume, and guide you in building a resume that helps you stand out to employers, ensuring you land your next position faster!

Check Now