Careers

We are looking for people who share our mission: to enable organizations to make better decisions using decision analytics. We believe that improving decision making is the foundation step for enabling and sustaining a better life, a better society, and a better ecosystem.

Our decision analytics platform is provided as a cloud-based subscription service for customers in North America and Europe.

Openings are listed below. For your selected opening, you should have the required skills or be able to show that you can rapidly grow into the role.

 

Openings in our Bangalore location

 

Business Analytics Consultant

  • Responsibilities:
    • On-board customers onto our enterprise decision analytics platform, set up dataflows, ensure data tie-out from a technical and business perspective
    • Determine business gaps and opportunities in the large set of analyses we produce for our clients, assure data accuracy and model integrity, and provide consulting on data-driven decision-making
    • Design and prototype decision models that improve our ability to systematically improve decision-making
  • Skills: business perspective, data understanding, communication
    • To get the job: we assess your skills in data analysis using Microsoft Excel as a way to determine your grasp of the business question, data-wrangling/statistics, and analysis. In MS Excel, you should know about working with large data-sets (freeze-panels, auto-filter, sort, pivot, tables, remove duplicates), formulas (vlookup, countif, sumif, eomonth, eoweek, average, median, quartile, etc.), and charts (including scatter, column, column and line, bubble, histogram, box & whisker, waterfall, etc.).
    • At work: you will develop skills in Statistical Process Control, Forecasting, Correlation, Optimization, and Decision Analysis. We use MS Excel as well as R and Jupyter notebooks, python and pandas for data analysis and visualization. The tool is not the concern, your ability to think and analyze data is the key.
  • Experience: 0 to 3 years of experience
  • Career Path: Senior Business Analytics Consultant
 

Delivery Leader

  • Responsibilities: customer-facing leadership role, responsible for delivery and operations
    • Customer Operations
      • Customer Portfolio Status (on-boarding and operations)
      • Customer On-boarding Projects
      • Customer Support and System Updates
    • Data Operations
      • Data Quality Management
      • Data Catalog and System Documentation (flows, transforms, how-to, and help)
      • Master Data Management
    • Analytics Delivery
      • Explore and Analyze
      • Automate Analytics Delivery (Define, Design, Test, and Stabilize)
      • Review, Update and Re-validate Analyses
    • Decision Advisory (provide advice, enable adoption, drive adaptation)
  • Skills:
    • Analytics skills (statistics, operations research, decision analysis)
    • Analytics systems implementation skills
    • Team leadership, project delivery, and customer satisfaction
  • Experience: 5 to 10 years of experience

 

Analytics Systems Engineer (Software Engineer)

  • Responsibilities:
    • Design, build, test, deploy and maintain the decision analytics platform provided as a cloud-based subscription service for customers
    • Develop software for the platform using Python, pandas, MongoDB, AngularJS, etc.
    • Data extraction, loading, transformation (ELT), enrichment, analytics, and visualization
  • Skills: Python, pandas, AngularJS
    • To get the job: we assess your skills in software engineering with Python, pandas, and JavaScript (AngularJS). Python is the highest-ranked way to build analytics systems, and JavaScript for data visualization and user interfaces.
    • At work: you will develop skills in Python and pandas for data analysis and visualization, the MongoDB NoSQL database, and front-end coding in JavaScript, D3JS, CSS, and HTML. The opportunity is to create a multi-enterprise decision analytics platform that goes from data to insights and then from insights to value. This is the future of analytics.
  • Experience: 0 to 3 years of experience
  • Career Path: Senior Software Engineer or Delivery Leader
 
Lead Engineer
  • Responsibilities:
    • Build the analytics software product (core technologies: Python and pandas)
    • Design, develop, test, deploy and maintain a scalable, highly-available, autonomous, intelligent, and reliable system
    • Establish software engineering processes and discipline for fast and reliable development of high-quality software product
    • Lead a team of software engineers, work with cross functional teams across multiple countries and time zones
  • Skills:
    • Design, code, test, deploy, and maintain software
    • Python, pandas, JavaScript, flask, MongoDB (NoSQL), numpy, scipy
    • SQL and RDBMS
  • Experience: 7 to 10 years of experience

Analytics System Tester

  • Responsibilities: test the analytics system
  • Skills: MS Excel, Python, testing, log analysis
  • Experience: 0 to 3 years of experience
  • Career Path: Test Leader

Analytics Infrastructure Engineer

  • Responsibilities: design, develop, deploy and operate the foundation for a high availability analytics technology infrastructure
  • Skills
    • To get the job, we assess your skills in
      • Python
      • Linux command line, Bash scripting
      • MongoDB
      • MS Excel
    • At work: you will be a resourceful self-learner who will develop skills in Python, pandas for data analysis and visualization, the MongoDB NoSQL database, Powershell, task schedulers such as Celery, Amazon Web Services, Google Cloud, etc. You'll be the go-to person for analytics system infrastructure and operations (including data-flows, statistics, optimization, and decision support). The opportunity is to create a multi-enterprise decision analytics platform that goes from data to insights and then from insights to value. This is the future of analytics.
  • Experience: 0 to 3 years of experience
  • Career Path: Lead Engineer or Delivery Leader

Data Scientist (Statistical Model Developer)

  • Responsibilities: consultant with professional depth in Statistics and Data Science. Understand the opportunities to apply data analytics, and rapidly prototype analytics models. Build, test, deploy and maintain analytics models in production.
  • Skills:
    • Clustering, Classification Trees, Correlations, Multiple Regression & Logistic Regression, Forecasting, Sampling & Surveying, Reliability, Data Mining, etc.
    • Design of Experiments, Statistical Quality Control, Statistical Process Control
    • Machine Learning & Data Visualization
  • Experience: 0 to 3 years of experience
  • Career Path: Senior Data Scientist or Delivery Leader

Decision Scientist (Operations Research and Decision Analysis)

  • Responsibilities:consultant with professional depth in Operations Research and Decision Science. Understand the opportunities to apply decision analytics, and rapidly prototype analytics models. Build, test, deploy and maintain analytics models in production.
  • Skills:
    • Linear Programming (Scheduling, Transportation, Assignment, etc.), Dynamic Programming, Integer Programming, Inventory, Maintenance, etc.
    • Simulation, Queuing, etc.
    • Decision trees/chains, Markov Chains, influence diagrams, Bayesian networks, Incentive Plans, AHP, MCDM, etc.
    • Game Theory
  • Experience: 0 to 3 years of experience
  • Career Path: Senior Decision Scientist or Delivery Leader

 

Technical Support Executive 

  • Responsibilities:
    • Work with USA based clients to provide technical support, training, trouble shooting and implementation for the FrogData Data Analytics Platform
    • Follow up with partners and clients to obtain data from their systems
    • Log-in remotely to client systems and download data
  • Skills: data understanding, communication, root-cause analysis, problem solving
    • To get the job:
      • Data analysis using Microsoft Excel: you should know about working with large data-sets (freeze-panels, auto-filter, sort, pivot, remove duplicates) and formulas (vlookup, countif, sumif, average, median, etc.)
      • Good verbal and written communication skills in English
      • Readiness to work in the night shift
      • Determine the root cause and resolve problems by understanding the business need, product features, and technical issues
      • Writing documents to describe processes and systems
      • Using a CRM system for support ticket management
    • At work, you will
      • Develop skills in Analytics and Decision Support
      • Learn the functionality of the FrogData Platform and become an expert user
      • Understand and assist with implementation of our Data Analytics Platform
      • Understand customer requirements and provide relevant and timely solutions
      • Troubleshoot customer issues remotely on voice calls, email and chat
  • Experience: minimum 5 years of experience in Technical Customer Support for US clients
  • Career Path: Business Analytics Consultant or Analytics Systems Engineer

 

Please send your resume to HR@CoBotSystems.com to apply.