• Senior Data Scientist - Machine Learning & Algorithm Jobs in Bangalore,India

  • Silverlinetec
  • Save Job
  • 5 - 8 Years
  • Posted : above 1 month

Job Description:

Full-time opening with US based Telecom Product firm in Bangalore

Designs, develops, programs and Implements Machine Learning Models (Clustering, Classification or Regressions models), Implements Artificial/Augmented Intelligence systems, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse - big data- sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements

Essential Duties and Responsibilities

- Interacts with product management, product engineering, global services, data acquisition, infrastructure management teams to identify questions and issues for data engineering, ML models feature engineering

- Develops, codes software programs, Implements industry standard auto ML models (Speech, Computer vision, Text Data), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms

- Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers

- Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, ML model features, Feature engineering / transformations to relevant stakeholders

- Analyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence and IoT space to help in making build/buy/partner recommendations

- Recommends research and experiments (eg for various ML models) on customer specific data to come out with foresights and insights to solve customer specific business problems and bring efficiencies in customer specific business processes

- Evaluate and make recommendations to evolve data collection to improve efficacy of ML models prediction

- Evaluate and define new data to collect for products or services under consideration for development or in development cycle based on experiments and feature engineering results and needs

- Help efficiently maintain cloud Infrastructure for research, staging and beta/pilot environment (from costs perspective for working with huge data sets)

- Mentor, guide, leads and develop Data Scientists, Specialists (eg Process Mining Specialists, Class of algorithms specialists) within the team

- Drive innovation by fostering open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conference for employees to attend, publish papers and patent disclosures

- Work with key customers and understand their pain points which can be solved with data science, ML, AI and IoT capabilities Work with Services, Products and Software technical leadership to align solutions

- Meet with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of predictive models

Job Requirements


Education Bachelors degree Advanced degree - masters or PhD - strongly preferred in Statistics, Mathematics, Data/Computer Science or related discipline

Preferred Work experience 5 - 8 years

Work Experience / Knowledge

- Knowledge of Statistical methods, Probabilities and Distribution, Sampling Distribution central limit theorem, confidence intervals, hypothesis testing, variances, Linear Regression, ANOVA, Exploratory data Analysis-

- Machine Learning model implementation experience on one or more of - Classification models (eg Support Vector Machines, Discriminant Analysis, Bayes network, Nearest neighbor- ), Regression models (eg Linear regression, GLM, SVR, GPR, Ensemble methods, Decision trees, Neural Networks), Clustering models (eg K-means, Fuzzy C-Means, Hierarchical, Gaussian, Hidden Markov Model)

- Knowledge or working experience of Artificial Intelligence system on one or more of Case-based reasoning systems, rule-based systems, artificial neural networks, cellular automata, fuzzy models, genetic algorithms, multi-agent systems, reinforced learning, hybrid systems

- Working knowledge of Data engineering - Big Data, Hadoop, Cassandra, Spark R, RDBMS DB SQL, NoSQL DB, Big-Query, Documents stores etc Hands-on experience preferred

- Work/Project experience in on Cloud Computing Tools and frameworks preferred

- Work/Project experience in sensors, IoT, mobile industry highly preferred

- Knowledge of Retail/Transportation/Logistics/Warehousing/Healthcare Business Process and market highly preferred

- Strong communication skills including written, verbal and oral presentation skills as well as ability to effectively present information and respond to questions from senior management, managers, clients, partners, data scientists, architects and customers Comfortable with presenting to senior management and CxO level executives

- Self motivated and self starter with high degree of work ethic with ability to thrive in a fast-paced, entrepreneurial, high-energy environment that requires multi-tasking capabilities and implement high priority initiatives

- Planning and Execution Skills

Profile Summary:

Employment Type : Full Time
Salary : Not Mentioned
Deadline : 15th Mar 2020

Key Skills:

Company Profile:

Not Mentioned

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