Job Title

Designation – Sr. Consultant- Data ScienceMachine learning/Data Science Experience – Minimum 5 yearsOverall Analytics Experience- 8-12 yearsLocation – RemoteMINIMUM REQUIREMENTS FOR THE ROLE Strong understanding of data analytics tools and technologies, hands-on experience (at least 5-6 Years) in applying appropriate analytics techniques to build statistical models, including handling of all pre- and post-modeling deliverables.Very strong hands-on working knowledge of Python and SQL. Good hands-on knowledge of any of the visualization tools amongst Power BI/Tableau.Should have worked across both structured and unstructured data (text) leveraging classification, regression, unsupervised, NLP and other techniques.Performed assignments that involved providing analyses and insights directly to client stake holders, proposed ideas for building strong internal/external analytics processes; performed analytics opportunity identification, roadmap development, technology, requirements analysis.Exposure to at least two of these sectors: Healthcare, Banking, Financial Services, Insurance, E-Commerce.Additional Technical requirements: Familiarity with Machine Learning methods like Decision trees (CART, Random Forest etc.), Support Vector Machines (SVM), Naïve Bayes, KNN, and unsupervised learning techniques like PCA, Clustering.Knowledge of text mining which involves text categorization, concept/entity extraction, sentiment analysis and document summarization for structured and unstructured dataset.Working with cutting edge tools and teams in data acquisition/ETL, visualization and sales process design to integrate in analytic application via and other CRM platforms.Working knowledge of Generative AI will be a bonusSoft Skill/Leadership Qualities:Leading the formulation of right framework and apply the right solution and analytics for the client’s business environment, strategy, and objectives, and then applying skills in predictive modeling to create reliable and accurate models in a time-sensitive manner that achieve the business and sales objectives.Leading the design, build and QC of advanced analytics and modeling, including extraction procedures from client and B2B databases and CRM applicationsExperienced in conducting ongoing reviews, coaching and guidance of junior analysts with company-approved templates for performance feedback.Leading team of analysts in developing the right approach and analytic methods to derive insights from customer data.Experience of working with multi-functional, multi-location & multi-culture teamsAbility to connect across a wide range of levels in the organization.Experienced in client/customer interface and stakeholder management.Hands on experience in team and project management