
Sr Manager Advanced Analytics
2 days ago
Job Role: Manager -Advanced Analytics.
Location: Bengaluru, Karnataka.
Experience: 8 to 14 years.
Notice Period: Immediate to 20 days.
Mode: Work from Office.
Key Responsibilities:
• Apply AI| ML , Deep Learning, Computer Vision, Data Mining/ Data Analysis methods using a variety of data tools, building and implementing models using algorithms and creating/ running simulations to drive optimisation and improvement across business functions
• Assess accuracy of new data sources and data gathering techniques
• Perform Exploratory Data Analysis, detailed analysis of business problems and technical environments in designing the solution
• Apply Supervised, Unsupervised, Reinforcement Learning and Deep Learning algorithms
• Apply advanced Machine Learning Algorithms and Statistics:
o Regression, Simulation, Scenario Analysis
o Time Series Modelling
o Classification - Logistic Regression, Decision Trees, SVM, KNN, Naive Bayes
o Clustering, K-Means, Apriopri
o Ensemble Models - Random Forest, Boosting, Bagging
o Neural Networks
• Lead and manage Proof of Concepts and demonstrate the outcomes quickly
• Document use cases, solutions and recommendations
• Work analytically in a problem-solving environment
• Work in a fast-paced agile development environment
• Coordinate with different functional teams to implement models and monitor outcomes
• Work with stakeholders throughout the organization to identify opportunities for leveraging organization data and apply Predictive Modelling techniques to gain insights across business functions - Operations, Products, Sales, Marketing, HR and Finance teams
• Help program and project managers in the design, planning and governance of implementing Data Science solutions
Experience and Skills:
• 8+ years of professional working experience in Analytics
• Experience in Leading Team and Guiding through Project End to End Delivery.
- Experience in Retail, Financial Services and Manufacturing
• Experience using statistical packages of R, Python and Spark ML to work with data and draw insights from large data sets
• Experience with distributed data/ computing tools: Hadoop, Hive, Spark, Python
• Experience with SQL
• Experience visualizing/ presenting data for stakeholders using matplot, ggplot or Excel or Tableau
• Excellent written and verbal communication skills for coordinating across teams.
Education qualification:
• Bachelors/ Masters in a quantitative discipline (Statistics, Econometrics, Mathematics, Engineering and Science
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