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Data Scientist (5 positions)
Kenilworth, NJ
Kenilworth
NJ
07033
Date
: Jun-16-20
2020-06-16
2021-06-16
Data Scientist (5 positions)
Kenilworth, NJ
Jun-16-20
Work Authorization
US Citizen
GC
H1B
OPT EAD, CPT EAD, GC EAD, L2 EAD, H4 EAD, TN EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior, Midlevel
Rate/Salary ($)
:
DOE
Duration
:
6 to 18 months
Sp. Area
:
AI, ML, NLP, Data Science
Sp. Skills
:
Data Scientist
Consulting / Contract
H1B OK
H1B Sponsorship Available
CONTRACTOR
Certification Preferred
Required Skills
:
Data Scientist, Machine learning
Preferred Skills
:
Domain
:
IT/Software, Financial, Government, HealthCare, Retail, Dot Com, Insurance, Pharmaceuticals, Manufacturing, Telecom
Work Authorization
US Citizen
GC
OPT EAD, CPT EAD, GC EAD, L2 EAD, H4 EAD, TN EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior, Midlevel
Rate/Salary ($)
:
DOE
Duration
:
6 to 18 months
Sp. Area
:
AI, ML, NLP, Data Science
Sp. Skills
:
Data Scientist
Consulting / Contract
H1B OK
H1B Sponsorship Available
CONTRACTOR
Certification Preferred
Required Skills
:
Data Scientist, Machine learning
Preferred Skills
:
Domain
:
IT/Software, Financial, Government, HealthCare, Retail, Dot Com, Insurance, Pharmaceuticals, Manufacturing, Telecom
Endure Technology Solutions
Ashburn, VA
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Data Scientist (5 positions)
Location: Kenilworth, NJ
Duration: 6-18 months contract to hire
Description
The Senior Predictive Modeler / Senior Data Scientist who will apply machine learning and statistical modelling methodologies to build the predictive models on product market dynamics, population, revenue, and product launches and other market events.
Your responsibilities will include:
· Ensuring quality delivery according to the standards and best practices methodology
· Coordinating the delivery of the team and managing the backlog and risks during the modelling
· Driving the development of the SW code (quality, documented, and reusable) to execute the predictive models
· People management and talent development to enable people to act as a data science practitioner (see e.g. points below)
· Communication & collaboration with different stakeholders
· Understanding of the business context of the decisions to be supported
· Suggesting the appropriate mathematical approach
· Building mathematical or statistical models using the available data
· Use of R to design and develop analytical models for advanced techniques such as forecasts, simulations, and optimizations
· Assessment of the output of analytical solution and use the data to draw conclusions, identification of options, and making recommendations
· Interpret the results and provide the advices to the business stakeholders
· Building and maintaining of knowledge on the data sources, the data quality and metadata
· Recognition of the repeatable situation and suggesting the appropriate level of automation of analytics
· Promotion of a culture of modelling and analytics as a differentiator and competitive advantage – an environment that places high value on embedding analytical tools within business processes, and using information to make fact-based decisions.
· Stay in touch with modern methodology within predictive modelling
Qualifications
Qualifications and Education Minimum Requirement
· MSc Degree in Mathematics, Statistics, Economics, or other related field.
Desired Experience and Skills (not compulsory)
· Passion for advanced analytics (mathematics) and applying it to predictive modelling
· The ability to formulate models, analyse them, and program and run simulations in some appropriate system (for example R)
· Extensive knowledge in one or more of the following areas: Mathematical analysis and modelling, probability, stochastic processes, econometrics, time series
· Demonstrated communication and interpersonal skills, including the ability to make high-level presentations for senior executives
· Strong analytical and problem-solving skills and ability to work with incomplete or imperfect data, including ability to interpret and use the analytics results within the real business context
· Ability to work both independently and collaboratively within a globally dispersed team
· Proven track records with creation of the analytical SW products of large scope where the collaboration tools and version control systems were leveraged
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