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Remote - Data Scientist
Remote, Work from Home
Remote
Work from Home
00000
Date
: Jan-13-21
2021-01-13
2022-01-13
Remote - Data Scientist
Remote, Work from Home
Jan-13-21
Work Authorization
US Citizen
GC
H1B
GC EAD, H4 EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior
Rate/Salary ($)
:
Market
Duration
:
6 Months
Sp. Area
:
AI, ML, NLP, Data Science
Sp. Skills
:
Data Scientist
Consulting / Contract
Third Party OK
CONTRACTOR
Certification Preferred
Direct Client Requirement
Remote Work from Home
Required Skills
:
Data Scientist, Agile, Business Intelligence, Python, SQL, R
Preferred Skills
:
Domain
:
HealthCare
Work Authorization
US Citizen
GC
GC EAD, H4 EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior
Rate/Salary ($)
:
Market
Duration
:
6 Months
Sp. Area
:
AI, ML, NLP, Data Science
Sp. Skills
:
Data Scientist
Consulting / Contract
Third Party OK
CONTRACTOR
Certification Preferred
Direct Client Requirement
Remote Work from Home
Required Skills
:
Data Scientist, Agile, Business Intelligence, Python, SQL, R
Preferred Skills
:
Domain
:
HealthCare
Technology Consultants Inc
Farmington, MI
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
We are looking for Data Scientist for one of our clients based out in Minneapolis, Please find the below job description and let me know if you are interested and available for projects. This is a 6 months contract role with potential extensions.
Data Scientist
6mo Contract
Plymouth, MN (Can be 100% telecommute)
*Drug screen and background check required
TOP SKILLS:
Experience working directly with business decision-makers to help them use data to create value
Experience building predictive models and measuring the business impact of application of them
Experience in an agile fast-paced environment with continuously evolving priorities, self-sufficiently staying productive
POSITION SUMMARY:
Polaris’s Data Science team works with business leaders across the enterprise to drive optimized strategy using data. The Data Scientist is responsible for creating recommendations for complex business decisions using predictive analytics. In addition to advanced analytics skills, this role is also proficient at integrating and preparing large, varied datasets, designing and implementing production algorithm scoring, and communicating results. You are primarily a data scientist but are passionate about developing advanced end-to-end analytics and technology solutions that drive value for our business.
RESPONSIBILITIES:
Develop analytical approaches to strategic business decisions
Extract, cleanse, and combine data from multiple sources and systems
Perform exploratory and targeted analyses, with a wide variety of statistical methods including: cluster, regression, decision tree/random forest, time series, neural network and others
Build and publish visualizations supporting measurement of outcomes related to the analytical projects
Collaborate cross-functionally to arrive at actionable insights
Synthesize analytic results with business input to drive measurable change
Effectively communicate technical analyses and results to business management
Develop and continually improve multi-source data architecture and analytics procedures, systems, workflows
Contribute to the development of end-to-end data driven solutions
Integrate and productionalize model results into both cloud and edge compute hardware platforms
QUALIFICATIONS:
2+ years of work experience in a predictive analytics-focused role
Masters degree in Applied Statistics/Mathematics, Data or Computer Science, or work experience equivalent
Strong knowledge of statistical methods and predictive/analytical modeling techniques and practices
Experience synthesizing and presenting analytics outcomes to senior executives
Experience with data preparation, rationalization, and processing in a cloud environment
Highly proficient with one or more data mining/predictive modeling tools: SQL, Snowflake, R, Python
Highly proficient with one or more data visualization tools: Tableau, Power BI
Practical understanding of mechanical systems and diverse hardware integration methods both a plus
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