027684-Senior Solution Architect - Data Science SME
Getting the data and analytics to get the data organized.
Build decision models on data collected. Conversant in R and Python ( Open - Source languages)
5-10 years professional work experience as a data scientist or on advanced analytics / statistics projects.
Preferred sector focus with 3+ years experience in one of the following industries: Aerospace & Defense, Automotive, Banking, Consumer Products & Retail, Financial Services, Healthcare, High Tech, Industrial Products, Insurance, Life Sciences, Manufacturing, Public Sector, Telecom, Media & Entertainment, and Energy & Utilities.
Master’s degree from top tier college/university in Computer Science, Statistics, Economics, Physics, Engineering, Mathematics, or other closely related field.
Strong understanding and application of statistical methods and skills: distributions, experimental design, variance analysis, A/B testing, and regression.
Statistical emphasis on data mining techniques, Bayesian Networks Inference, CHAID, CART, association rule, linear and non-linear regression, hierarchical mixed models/multi-level modeling, and ability to answer questions about underlying algorithms and processes.
Experience with both Bayesian and frequentist methodologies.
Mastery of statistical software, scripting languages, and packages (e.g. R, Matlab, SAS, Python, Pearl, Scikit-learn, Caffe, SAP Predictive Analytics, KXEN, ect.).
Knowledge of or experience working with database systems (e.g. SQL, NoSQL, MongoDB, Postgres, ect.)
Experience working with big data distributed programming languages, and ecosystems (e.g. S3, EC2, Hadoop/MapReduce, Pig, Hive, Spark, SAP HANA, ect.)
Expertise in machine learning algorithms and experience using the following ML techniques:
Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, SVMs, Time Series, KMeans, Clustering, NMF).
Preferred experience with NLP, Graph Theory, Neural Networks (RNNs/CNNs), sentiment analysis, and Azure ML.
Experience building scalable data pipelines and with data engineering/ feature engineering.
Preferred experience with web-scrapping.
Experience building and deploying predictive models.
Expertise using PowerPoint and clearly articulating findings/ presenting solutions
Excellent team-oriented interpersonal skills and demonstrated leadership.
Proven track record delivering successful data science projects and working with global teams.
Demonstrated leadership by building Data Science teams and fostering growth.
Solution Architects assess a project’s technical feasibility, as well as implementation risks.
They are responsible for designing and implementing a project’s technical architecture.
They define the structure of a system, its interfaces, and the principles that guide its organization, software design and implementation.
The scope of the Solution Architect’s role is bounded by the business issue at hand.
A Solution Architect needs to have knowledge of all the different aspects of the technical solution as well as robust business knowledge.
This includes the Software Architect. Required Skills and Experience:
You are responsible for the end-to-end architecture of a solution, including its assembly and integration into the IT architecture principles defined with the client.
You define the structure of the system, its interfaces, and the principles that guide its organization, software design and implementation.
You are responsible for the management and mitigation of technical risks, ensuring that the solution services can be realistically delivered by the underlying technology components.
With more than 190,000 people, Capgemini is present in over 40 countries and celebrates its 50th Anniversary year in 2017.
A global leader in consulting, technology and outsourcing services, the Group reported 2016 global revenues of EUR 12.5 billion (about $13.8 billion USD at 2016 average rate).
Together with its clients, Capgemini creates and delivers business, technology and digital solutions that fit their needs, enabling them to achieve innovation and competitiveness.
A deeply multicultural organization, Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore®, its worldwide delivery model. Learn more about us at www.capgemini.com.
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed.
Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Click the following link for more information on your rights as an Applicant: http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law