Description :

Job Role : Manager-Advanced Analytics.

Location : Bengaluru, Karnataka.

Notice Period; Immediate to 20 days.

Experience : 8 to 15 years.

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 :

- Regression, Simulation, Scenario Analysis

- Time Series Modelling

- Classification - Logistic Regression, Decision Trees, SVM, KNN, Naive Bayes

- Clustering, K-Means, Apriopri

- Ensemble Models - Random Forest, Boosting, Bagging

- 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 organisation 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)