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Multiple Technical Profile

GadflyZone India Pvt. Ltd.
Experience1-3 years  |  Salary2-5LPA  |  Job locationBangalore

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Job Description

GadflyZone’s mission is to ensure that their customers in the chemicals and plastics industry find winning segments – of products, markets, applications, & customers – using data sciences.
GadflyZone believes that Industrial Marketing – which is rightfully driven by expertise and insights – can be empowered by a data-driven approach, built on the solid tenets of mathematical robustness, painless usability and obvious insightfulness. Chemicals and plastics can lead this transformation of industrial marketing into the new age. Considering that approximately 35% of world’s GDP, amounting to about $25T, is driven by industrial output, of which the ubiquitous Chemical Industry is a $4T chunk, there is a huge opportunity for value addition.

Chemical companies are striving to be solution providers in an industry that is seeing a rapid transformation from being product-centric to market-facing. Data-driven segmentation is an ideal starting point for the transformation. GadflyZone partners with chemical companies to accelerate this transformation. With deep domain expertise on the one hand, and passion for data sciences and technology on the other, They are here to deliver solid value and growth.

Does this combination of machine learning, technology and industry value, stir your passion? Do get in touch. GadflyZone need ace problem solvers at the intersection of chemical engineering, data sciences and software development to deliver domain-specific value using algorithms and heuristics.

Learn more at www.gadflyzone.com, and do watch their introductory video.

GadflyZone Inc. is a privately held corporation headquartered in the Greater Chicago Area, with its India Centre in Bangalore.

Website: www.gadflyzone.com

Profiles opening for:

  1. Software Development Engineer
  2. Data Science Engineer
  3. Solution Analyst

Probation Period: 6 months to 1 year (Depending upon the performance and experience)

Salary: Max: 5 LPA (Depending upon the experience)

Tentative date of Interview: 28th Feb 2015

“Please Note that this is a tentative date of Interview, the exact date and venue will be communicated to you post registration process is over. The shortlisted candidates will be sent Admit Cards/Call Letters on their registered mail Id, which they will need to carry on the date of Interview. No candidate will be entertained by the company without the formal intimation from Aspiring Minds”

Interview Process:

  1. 2 rounds of telephonic discussion
  2. 3 rounds of F2F Interview at Bangalore office

Job Description: (Software Development Engineer)

You would be responsible for building the segmentation application. This would consist of understanding the problem space of segmentation, designing the data schema, architecting the solution and developing the application. Typical aspects of ownership would include:

  • Understanding the problem and designing the solution flow.
  • Designing the application ground up.
  • Developing the interfaces to use the outputs from data mining & data analysis.
  • Building a world class scalable, multi user application
  • Setting the tools and processes for ensuring software best-practices across the organization.

Skills and Attitude:

  • Problem Solver (This is Key!)
  • Solid foundation in scalable web application development.
  • Rock star programmer with full stack development exposure (Database, server, user interfaces).
  • Experience on ground-up building of web scale applications with experience in varied distributed data storage systems.
  • Passionate builder and technology expert, focussed on customer delight.
  • Leader who can set the software best-practices for the company including source code control, builds and test infrastructure.

Nice to have:

  1. Experience with Machine Learning based applications
  2. Understanding of industrial value chains

Job Description: (Solution Analyst)

You would be responsible for understanding and designing a solution for the segmentation problem, for specific customers, using data sciences. This would consist of understanding the customer problem and working with the engineering to build the solution. Further, you would own the process of constantly refining the overall solution towards better customer experience. Typical aspects of ownership would include:

  • Understanding the problem and designing the solution flow
  • Defining scope and requirements, isolating key issues, reviewing possible solutions, and presenting a recommendation.
  • Designing the strategy for solving the customer problem.
  • Working with engineers to identify the model for solving the problem.
  • Identifying and munging the required data.
  • Running the models with real data, and analyzing the results with techniques such as simulations and what-if analysis
  • Analyzing the results and zeroing in on the insights and recommendations
  • Owning the customer problem to complete delivery

Skills and Attitude:

  • Problem Solver (This is Key!)
  • Understanding of the industrial value chains
  • Passionate towards direct customer value
  • Basic foundation in Statistical Learning, with passion for data based decision making
  • Good understanding of R, with a solid knowledge of various data analysis algorithms
  • Expertise in full stack strategic problem solving, all the way from problem definition to the final customer solution
  • Knowledgeable in software products that have the potential to meet business needs
  • Ability to work with customers to identify core requirements, total budget and timeline, project resources and expectations
  • Good communication and customer relationship skills

Nice to have:

  • Knowledge of the chemicals and plastics industries
  • Exposure to various machine learning algorithms in the areas of text mining, natural language processing and predictive analytics
  • Programming experience

Job Description: (Data Science Engineer)

You would be responsible for solving the segmentation problem using data sciences. This would consist of understanding the problem space of segmentation and building the models for insights and predictive analytics. Typical aspects of ownership would include:

  • Understanding the problem and designing the solution flow
  • Building the mathematical model for solving the problem
  • Exploration, organization and exploitation of the required data
  • Building the technology for running the models with real data
  • Constantly "Create, test and modify hypotheses" that may explain observed results
  • Analyzing the results and zeroing in on the insights and recommendations
  • Designing and implementing the correct visualizations, for the best of understanding and analysis
  • Ensuring solid customer value

Skills and Attitude:

  • Problem Solver (This is Key!), with ability to extract value from data
  • Solid foundation in Statistical Learning, with passion for data based decision making
  • Broad exposure to various machine learning algorithms in the areas of text mining, natural language processing and predictive analytics
  • Good understanding of R, including all the oft used libraries
  • Expertise in bringing, cleaning and analyzing non standard data
  • Experience in converting large ambiguous data sets into compact analyzable visualizations
  • Rock star programmer

Nice to have:

  • Understanding of industrial value chains
  • Understanding of the Chemical Engineering domain

Perks:

  1. Fun and Solid work environment
  2. Real Startup, Real Day1, Real Value Addition

Purpose and Autonomy from day 1, leading to Mastery

  • Job Responsibilities: Multiple Technical Profile
  • Education: B.Tech/B.E., BCA, M.Tech./M.E., MCA
  • Work Ex: 1 - 3 yrs
  • Salary: 5 Lacs
  • Industry: KPO
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