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ACL Digital : Service Line Leader: Data Science/AI / ML/DL/Business Analytics
Brief Description of position:
JOB TITLE:
Service Line Leader: Data Science/AI / ML/DL/Business Analytics
JOB OVERVIEW:
Responsible for building Data Science/ Advanced Analytics practice and revenue generation
ROLES AND RESPONSIBILITIES:
Defines roadmap for Data Science/Advanced Analytics practice which is to identify Industries, Services and Solutions to develop in the near term
Collaborates with Marketing, Business Development and Sales Executives to identify opportunities, create pipeline, design solutions to customer problems and close deals
Develops relationships with technology and solution partners to identify prospects, develop accelerators and create mind share about ACLs practice and business growth
Presents solutions and accelerators developed to IT Research/ Analyst organizations, creates minds share and achieves recognition
SKILLS AND QUALIFICATIONS:
Overall 15 to 20 yrs of exp with 10 years of experience in delivering meaningful results through data analytics
Deep understanding and minimum 6 years of hands-on experience in developing models using Artificial Intelligence, Machine Learning, and Deep Learning related technologies (such as Keras, TensorFlow, pyTorch, Azure ML, AWS ML, Scikit, Jupyter, MATLAB, etc.)
Strong business acumen to understand business objectives & dynamicsExcellent written and verbal communication skills for coordinating across teams
Developed & Proficient in algorithms on regression modeling (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 Machin Logs Processing, text mining and text analytics.Strong programming skills in one or more scripting languages (eg. R, Python)
Strong expertise in one or more visualizing tools (Power BI, Tableau etc.)
Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc
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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