This site uses cookies. To find out more, see our Cookies Policy

Data Scientist /Engineer in Bloomfield, CT at Fast Switch

Date Posted: 4/14/2019

Job Snapshot

Job Description

Job ID: 51305

Data Scientist /Engineer

Bloomfield, Connecticut, United States 
No.Openings: 2 

6 month contract with expectations of permanent employment

***Client will not accept EAD-OPT’s or H4’s

***Candidate must be US Citizens, Green Card holder or H1’s WITH 1 year or more left on Visa and an approved 140 form.   

***Candidates must be willing to go permanent with the client

***Candidates should be willing to conduct face to face interview if necessary.     

***Client will not accept resumes over 3 pages.   



Description:

Data Scientist /Engineer 

Position Description
Data Scientist/Engineer to join the team. We have 2 openings, 1 for Bloomfield, CT and 1 for Lafayette, LA.

You’ll be a part of the team that supports the organization by embedding deep analytic insights into key decision processes and focusing on the biggest, most complex problems. We are looking for team players with excellent analytic and technical skills and insatiable curiosity about data to support our Data Quality and Data Management efforts in the Big Data space.

What you’ll be responsible for :

• Support the development and maintenance of the Enterprise Data Management Framework and data metrics, with a focus on Metadata Management.

• Use modeling, machine learning and programming skills to generate insights by leveraging large amounts of health care data

• Leverage big-data technology to design, prototype, develop and optimize production algorithms 

• Partner with key stakeholders to understand their needs and build new automated solutions for data identification, data quality, metadata management, data retention

• Demonstrate how analytical results are connected to a business problem or objective 

• Present and provide recommendations to internal teams and stakeholders

• Analyzing/measuring the quality of data ingested into the Data Lake and other authoritative data sources

What you’ll need:

• Strong programming and data manipulation skills 

• Proficiency in most areas of mathematical and statistical analyses, machine learning, predictive modeling, and data visualization.

• A strong ability to communicate technical concepts and insights to business partners 

• Excellent problem solving skills as well as critical thinking and conceptual thinking abilities 

• Collaborate with source systems and downstream data consumers to remediate issues and put in place processes to monitor data quality risks

• Support and contribute to the Cigna Enterprise Data Management team’s overall goals: high quality data, effective data stewardship, robust and reliable metadata, compliance with data governance policy 

Deliverables will include reports, detailed and summary analyses, root cause analyses, and improvement proposals. 

Experience and Qualification 

Experience 

• Excellent problem solving skills with the ability to design algorithms including data profiling, clustering, anomaly detection, text analytics, and predictive modeling

• Strong skills in statistical analyses with abilities in advanced data management and statistical programming using python, R, Java, and/or other languages 

• Experience with the Hadoop ecosystem, Spark

• Familiarity with Agile methodologies 

• Understanding of cloud platforms like AWS is preferred

Desirable Qualifications

• Advanced degree in computer science, statistics, physics, or related quantitative field preferred.

• 4+ years relevant data science experience 

Your future duties and responsibilities
• Support the development and maintenance of the Enterprise Data Management Framework and data metrics, with a focus on Metadata Management.

• Use modeling, machine learning and programming skills to generate insights by leveraging large amounts of health care data

• Leverage big-data technology to design, prototype, develop and optimize production algorithms 

• Partner with key stakeholders to understand their needs and build new automated solutions for data identification, data quality, metadata management, data retention

• Demonstrate how analytical results are connected to a business problem or objective 

• Present and provide recommendations to internal teams and stakeholders

• Analyzing/measuring the quality of data ingested into the Data Lake and other authoritative data sources 

Required qualifications to be successful in this role
• Strong programming and data manipulation skills 

• Proficiency in most areas of mathematical and statistical analyses, machine learning, predictive modeling, and data visualization.

• A strong ability to communicate technical concepts and insights to business partners 

• Excellent problem solving skills as well as critical thinking and conceptual thinking abilities 

• Collaborate with source systems and downstream data consumers to remediate issues and put in place processes to monitor data quality risks

• Support and contribute to the Cigna Enterprise Data Management team’s overall goals: high quality data, effective data stewardship, robust and reliable metadata, compliance with data governance policy 

Deliverables will include reports, detailed and summary analyses, root cause analyses, and improvement proposals. 

• Excellent problem solving skills with the ability to design algorithms including data profiling, clustering, anomaly detection, text analytics, and predictive modeling

• Strong skills in statistical analyses with abilities in advanced data management and statistical programming using python, R, Java, and/or other languages 

• Experience with the Hadoop ecosystem, Spark

• Familiarity with Agile methodologies 

• Understanding of cloud platforms like AWS is preferred

Bachelor Degree

Desirable Qualifications

• Advanced degree in computer science, statistics, physics, or related quantitative field preferred.

• 4+ years relevant data science experience