Robotics Technologies LLC
data science developer
Robotics Technologies LLC, Trenton, New Jersey, United States,
W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters.Job Overview
Job ID:
J37258Specialized Area:
Data ScienceJob Title:
[Insert Job Title]Location:
Princeton, NJDuration:
12 MonthsDomain Exposure:
Healthcare, Insurance, Retail, Oil & Gas, IT/SoftwareWork Authorization:
To Be Discussed LaterEmployment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)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 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: 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 (e.g., 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 of 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.ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.
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Job ID:
J37258Specialized Area:
Data ScienceJob Title:
[Insert Job Title]Location:
Princeton, NJDuration:
12 MonthsDomain Exposure:
Healthcare, Insurance, Retail, Oil & Gas, IT/SoftwareWork Authorization:
To Be Discussed LaterEmployment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)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 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: 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 (e.g., 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 of 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.ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.
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