Sr Manager Advanced Analytics

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