Data Lead/scientist - Toronto, Canada - Capgemini

Capgemini

Verified Company

Toronto, Canada

3 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Who you will be working with:
At Capgemini, we help our clients to embrace innovation and transformation to get the future they want.

By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future.

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology.

The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future.

It is a responsible and diverse organization of 340,000 team members in more than 50 countries.

With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms.

The Group reported in 2021 global revenues of €18 billion.

Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability.

An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable).

We recognize that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success.

When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client.

Get The Future You Want

What you will do:
The Data Science & Analytics group is the fastest growing digital practice at Capgemini demanding agile innovation.

As part of the Data Science & Analytics group, you will work in a collaborative environment with internal and client resources to understand key business goals, build solutions, and present findings to client executives while solving real-world problems.

If you are passionate about solving problems in the realm of cognitive computing, big data, and machine learning while utilizing business acumen, statistical understanding, and technical know-how, the Data Science & Analytics practice group at Capgemini is the best place to grow your career.

What you will bring:
year(s) professional work experience as a data scientist

Master's degree from top tier college/university in Computer Science, Statistics, Economics, Physics, Engineering, Mathematics, or other closely related field.
Statistical emphasis on data mining techniques, Bayesian Networks Inference, CHAID, CART, association rule, linear and nonlinear regression, hierarchical mixed models/multilevel modeling, and ability to answer questions about underlying algorithms and processes
Mastery of statistical software, scripting languages, and packages (e.g. R, Matlab, SAS, Python, Pearl, Scikitlearn, 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 webscrapping.
Experience building and deploying predictive models.
Experience with PowerPoint and ability to clearly articulate findings and present solutions.
Excellent teamoriented and interpersonal skills.

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.