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ACL Digital : Lead Data Scientist
Brief Description of position:
JOB DESCRIPTION
Lead Data Scientist
JOB OVERVIEW:
Responsible for building Predictive, Prescriptive, Big Data Analytics Models/Data Science applications using AI/ML/DL/Big Data Technologies
ROLES AND RESPONSIBILITIES:
Participate in customer workshops to understand customer problems and design solutions with Advanced Analytics
Define Advanced Analytics Use Cases and Implementation Roadmap
Build Prototypes, POCs and Production ready Data Science applications
Support and enhance Data Science Models/Applications
Manage customer relationship and drive account growth initiatives
Collaborate with Partners for understanding the trends and new solutions and presenting the same to the customers and sales
SKILLS AND QUALIFICATIONS:
Overall, 10 to 12 yrs. of exp in solving customer problems with Data and 7-8 years of experience as Data Scientist for Life Sciences, Health Care and FMCG
Deep understanding and minimum 5 years of hands-on experience in developing models using Machine Learning and Deep Learning related technologies (such as Keras, TensorFlow, pyTorch, Azure ML, AWS ML, Jupiter, MATLAB, etc.)
Strong programming skills in one or more scripting languages like R, Python)
Experience with Data Visualization tools like Tableau, Microsoft Power BI and SiSense
Exposure to working on AI/Data Science/Analytics platforms like SAS, Microsoft AI, Amazon AI, IBM WATSON, H20,
Strong business acumen to understand business objectives & dynamics and possess excellent written and verbal communication skills for coordinating across teams
Experience with common data science toolkits, such as Python, R, Weka, NumPy, MATLAB, etc
Proficient in algorithms on regression modelling (linear/logistic), supervised and unsupervised classification, tree-based techniques (Decision trees /Random forest), neural nets, bagging, Pattern Mining and boosting techniques, etc.
Strong hold of concepts in Statistics and expertise in Machine Logs Processing, text mining and text analytics
Master's degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with working experience as a Data Scientist
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