Data Science Engineer

python, r, java, scala, perl
Full Time
Depends on Experience
Work from home not available Travel not required

Job Description

Job Role: Data Science Engineer

Location: NYC, NY and Princeton, NJ

Job Description Summary:

A well-rounded Data Science Engineer who will be responsible for conceptualizing solutions to provide meaningful insights on data leveraging data analytics, statistical modeling and machine learning. Should have a strong background in statistical modeling and techniques and data-science/ML concepts, techniques, methodologies and tools.

Should have the ability to interface with stakeholders and SMEs as well as work independently within a team of data analysts, engineers and scientists to achieve target outcomes.

 

Responsibilities:

  • Cleansing of large unstructured data and enabling analytical capability in order to query the data and address various business needs.
  • Use unstructured and disjointed data sets for the purpose of independently generating actionable business insights as well as creating manageable analytical processes within the Data and Analytics group
  • Build econometric and statistical models for various problems inclusive of projections, classification, clustering, pattern analysis, sampling, simulations, and so forth
  • Predictive statistical models, segmentation analysis, customer profiling, analysis, survey design, and data mining.
  • Research new ways for predicting and modeling end-user behavior as well as investigating data summarization and visualization techniques for conveying key applied analytics findings
  • Perform ad-hoc data mining and exploratory statistical tasks on very large data-sets related to the business s strategies.
  • Prepare reports and presentations for senior data scientists and relevant stakeholders that will give insights for departmental as well as business wide decision making
  • Experiment with various technologies and tools with the vision of creating innovative data driven insights for the business at the quickest pace possible
  • Take initiative in evaluating and adapting new and improved data analytics approaches for the business, working with senior management for approval

 

Technical Skills Required:

  • Experience in data cleansing and preparation concepts and tools
  • Programming Languages: Hands-on with at least 3 of the following: of Python, R, Perl, Java, Scala
  • Strong background in relational databases and SQL
  • Experience working with statistical libraries and frameworks for predictive analytics
  • Experience with ML modeling tools and libraries (eg. TensorFlow)
  • Knowledge or experience working with Jupyter or Zeppelin notebooks
  • Knowledge of Hadoop will be a plus but is not required
  • Experience and knowledge in the various types on neural net models (DNN, CNN)
  • Expertise in probability and statistics, time-series analysis, or econometrics as well as experience in the use of machine learning methods, for example, linear regression, correlation, statistical significance, and so forth.
  • Experience in data visualization concepts and tools
  • Experience in data warehousing and dimensional data modeling is an added plus but not required
  • Experience in NLP techniques, concepts and libraries will be an added plus but is not required

 

Education: Bachelor s degree or higher in Statistics, Mathematics, Computer Science, Machine Learning, Economics, or any other related quantitative field. Working experience of the equivalent is also acceptable for this position.

 

Experience: A candidate for this position must have had at least 3 years of working experience working with data analytics/informatics and business outcomes research within a fast-paced and complex business setting, preferably working as a support data analyst. A candidate for this position must be technologically adept, demonstrate exceptionally good computer skills, and demonstrate a passion for research, statistics, and data analysis as well as a demonstrated ability and passion for designing and implementing successful data analysis solutions within a business.

The candidate must have a strong understanding of data-mining techniques and an ability to apply these techniques in practical real-world business issues. The Data Analyst will demonstrate an ability to consider data, identify patterns, issues, or data analysis needs for the business. The candidate must also have skills in the workings of SQL and scripting languages such as Python and Perl as well as familiarity with statistical analysis, data visualization, and data cleansing tools and techniques. (S)he will additionally demonstrate strong skill in statistical techniques inclusive of cluster-analysis test design, regressions, and forecasting methodologies as well as substantial familiarity in big data and standardizing and A/B testing.

Interpersonal Skills: The candidate must also demonstrate personal attributes that will qualify him for the position, for example, (s)he will have an ability to work effectively in a group/collaborative setting, be result oriented, be highly analytical, be a strategic and creative thinker, have superior organizational skills, have strong attention to details, have an ability to work on multiple projects and meet tight deadlines, have exceptional problem solving skills, and remain calm and composed in times of stress and uncertainty.

 

Thanks,

Vinay Joshi

vinay.joshi@thedigitalgroup.com

Dice Id : epeople
Position Id : 6331414
Originally Posted : 4 months ago
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