Capgemini Senior Data Scientist in Minneapolis, Minnesota
Sogeti is a leading provider of professional technology services, specializing in Application Management, Infrastructure Management and High-Tech Engineering. Sogeti offers cutting-edge solutions around Testing, Business Intelligence, Mobility, Cloud and Security, combining world class methodologies and the global delivery model, Rightshore®. Sogeti brings together more than 20,000 professionals in 15 countries and is present in over 100 locations in Europe, the US and India. Sogeti is a wholly-owned subsidiary of Cap Gemini S.A., listed on the Paris Stock Exchange.
At Sogeti USA, we are committed to building a long and enduring relationship with our employees and to creating an environment that rewards and empowers. Our mission is to constantly exceed our employees' expectations in the same way that we strive to exceed our clients' expectations. We offer an environment that celebrates innovation and helps you to achieve a good balance between your professional and personal life. We strive to be an employer of choice!
What You-ll Do
As a Data Architect at Sogeti you will have the opportunity to:
Analyze business intelligencedata and make recommendations for data warehouse growth and integrationfor the enterprise.
Work with IT and businesscustomers to develop requirements for designing the data architecture.
Provide support and technicalguidance to ensure architecture and framework are aligned with BIapplication needs.
Develop various, distinct andmultiple technical application designs.
Prepare technical designdocuments and blueprints for applications.
Facilitate application designreviews and walkthroughs.
Interpret application servicessuch as API and integrate them with technical design.
Create and evaluate technicalalternatives for complex applications.
Explore and evaluateapplication design considerations for multiple technologies.
Minimum education qualification
- A bachelor's degree in anydiscipline. MBA or equivalent degree preferred.
The ideal candidatewill have/be:
Experience with Medical Data Analytics and Machine Learning systems and concepts.
Architecture and hands-on development of Analytics solutions.
Definition and development of analytical, statistical and machine learning algorithms for advanced analysis and prediction.
Architecture, design, building and integration of solutions using Hadoop and open-source components.
Leveraging large sets of structured and unstructured data to develop tactical and strategic insights.
Collaborating with analytic and data teams to set objectives, approaches, and work plans.
Researching and evaluating new analytical methodologies, approaches, and solutions.
Developing and validating NPL models and tools.
Interpret and communicate analytic results to analytical and non-analytical business partners and executive decision makers.
Possible source solutions: R, Pig, Hive, Python, the Mahout machine learning library.
Familiarity with open-source components, which may be used.
Good communication skills.
Ability to work with ambiguous or ill-defined descriptive material and to find appropriate solutions.
The benefits our employees enjoy:
401(k) Savings Plan- Matched150% up to 6%. (Our 401k is in the top 1% of 401(k) plans offered in theUS!)
Medical/Prescription/Dental/VisionCoverage- Employees pay no premiums!
Bonus Program that pays up to$20,000!
$12,000 in TuitionReimbursement
100% Company-paid mobile phoneplan
Personal Time Off (PTO)-Ensuring a balance of work and home life
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled