The role is part of Research and Innovation vertical.
We are looking for a senior Data Scientist to analyse huge amount of raw information to find patterns, build data products and models to extract valuable business insights.
The incumbent should possess analytical skills and excellent proficiency in maths and statistics. Critical thinking and problem-solving skills are essential for interpreting data.
Experience in Machine Learning(ML) domain and research skills to create artificial intelligence solutions, machine learning models and retraining systems with real world data
Primarily responsibilities include creating efficient e to self-learning applications and managing a team of Data Scientists and Data Visualizers
Bachelor’s degree in Computer science or equivalent
Relevant Master’s degree preferred
Minimum of 12+ years of experience as Data Scientist with 5+ years in deploying solutions with Apache Spark (or similar) on Hadoop Clusters as well as building advanced data pipelines are added advantages
Experience in Machine Learning Algorithms is a must
Maximum of 17 years of total work experience in the IT industry
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Research and implement appropriate ML algorithms and tools
Perform statistical analysis and fine-tune them using test results
Train and retrain systems when necessary
Extend existing ML libraries and frameworks
Create and maintain optimal data pipeline architecture
Combine models through ensemble modeling
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Skills and Qualifications
Develop and implement advanced analytics approaches including statistical modelling and machine learning techniques such as XGBoost, Decision Tree, Clustering techniques, PCA, Collaborative Filtering, Neural Networks, Time-series etc.
Successfully conceptualize, develop and deploy advanced analytics solutions in a high performing environment. Objective of the analytics group is to create bottom-line impact for a leading financial institution in India by leveraging cutting edge analytics solutions
Proven industry experience as a hands-on Data Science and Machine Leaning Engineer
Excellent communication skills to convert analytical output into clear, concise and persuasive insights and recommendations for technical and non-technical audience
Create advanced reports and dashboards to facilitate faster decision making
Understanding of data structures, data modeling, data mining and software architecture
Proficiency in mathematics and statistics
Hands-on experience in at least one Python or R
Outstanding analytical and problem-solving skills
Excellent communication and presentation skills
Operational experience with machine learning frameworks (like Keras/ Tensorflow/ PyTorch) and libraries (like scikit-learn)
He should have managed a team of data scientists and data visualisers
Experience with relational SQL and NoSQL(like H-base and Cassandra) databases.
Experience with big data tools: Hadoop, Spark, Kafka, etc would be a plus
Understanding of Ontologies, Explainable-AI and Compliance-AI will be a plus
Working experience with Protégé would be a plus
Experience with AWS cloud services: EC2, EMR, RDS, Redshift would be a plus