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Job Description

Company Description

Based out of Silicon Valley, our client leverages disruptive technology in data and digital to give clients competitive advantage. Our service model caters to clients in a slew of domains such as consulting, ideating, the art of the possible, rapid prototyping. Big Data Analytics and Digital Experiences such as IoT, Wearables, UX, Mobile,IP-led solutions and engineered software solutions. Our 2,500 odd employees serve more than 350 global clients, a significant number of whom are Fortune 500

Job Description

Title : Data Scientist

Location : Edison, NJ

Nature of employment : Full time permanent, Permeant position

Your Role:

Data scientist

  • A day in the Life of Data Scientist, you will:
  • Partner closely with project managers to deconstruct business problems of the client, develop data models and algorithms that deliver meaningful insights
  • Take ownership of whole end-to-end predictive modeling projects - from data processing, training, optimization to real-time monitoring and maintenance
  • Develop solutions to data driven problems, and communicate relevant insights to stakeholders through storyboards/presentations
  • Stay abreast with current technical and industry development and constantly strive to devise innovative statistical models for data analysis
  • Actively participate in external forums and industry conclaves

For you to be successful, you must:

  • Create value by meeting needs of stakeholders and delivering high-quality results
  • Open and flexible to accommodate and implement new ideas, understand business complexities, nurture innovation and challenge the status quo persistently
  • Strive to be subject matter expert in chosen area of specialty through continuous learning
  • Have an eye for detail to ensure accurate conclusions in data analysis and presentations
  • Disseminate knowledge and share own experiential learning with others

You ll bring this to the table:

  • Critical Thinking: ability to work in ambiguous situations with unstructured problems
  • Strong analytical skills with the ability to collect, organize, review significant amounts of information
  • Experience using statistical computer languages (R, Python, SAS) to manipulate data and draw insights from large data sets.
  • Working knowledge in basic statistical concepts such as properties of distributions, statistical tests and their proper usage
  • Expertise in some of the advanced machine learning techniques such as Clustering, Regression/Classification, Time Series Analysis, Network Analysis, Popular Deep Learning architectures and theory, simulation, scenario analysis
  • Clear, professional written and verbal communication skills, ability to easily communicate complex ideas
  • Experience with any distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, etc.
  • Experience with machine learning on big data.

It would be exceptional, if you also have this:

  • Expertise in Image, Video, Speech, Sound, Text domain
  • Working knowledge of concepts and application of Design of Experiments
  • Depth across areas within the domain or industry

Qualifications

Data Science



Additional Information

AWS or any other cloud technologies experience or atleast knowledge needed


Associated topics: data administrator, data analytic, data architect, data center, data integrity, data management, database administrator, etl, hbase, mongo database administrator

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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