Associate Data Scientist

Socket.dev; Toronto; On-site; CAD 60,000 - 80,000; Full time

Benefits offered by this job

Paid time off

Health benefits

Retirement plans

Job summary

Capgemini is expanding its AI & Analytics practice and seeking analytics professionals to design and implement AI/ML solutions across multiple industries. You will work with latest analytics and big data technologies to extract value from data, collaborating with global teams and presenting findings to executives.

The role emphasizes solving real-world problems in cognitive computing, data science, and machine learning, with opportunities to grow within a supportive, global community.

Qualifications

• 1–2 years industry experience in data science or quant field preferred.
• Master's degree or PhD in Computer Science, Statistics, Economics, Mathematics, or closely related field using R and Python.
• Strong understanding of statistical methods: distributions, variance, correlation, A/B testing, regression.
• Deep Learning experience (NLP/Computer Vision) with PyTorch, TensorFlow or Keras.
• Experience with big data ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka; familiarity with AWS, Azure, Google Cloud.

Responsibilities

• Design and build scalable AI/ML solutions to solve business problems using client data.
• Understand client needs, develop solutions, and present findings to client executives.
• Provide data-driven recommendations and clearly articulate complex concepts in presentations.
• Analyze and model structured and unstructured data to generate value.
• Uncover new opportunities with clients' data using domain expertise.

Skills

Data science

Statistics

NLP

Machine learning

Education

Master's degree in Computer Science/Statistics/Mathematics

PhD in related field

Tools

PyTorch

TensorFlow

Keras

Spark

Hadoop

MapReduce

Pig

Kafka

AWS

Azure

Google Cloud

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

"The AI & Analytics practice group at Capgemini is expanding its footprint... rapidly. As part of the fastest growing digital practice within Capgemini, we work with the latest advanced analytics, machine learning, and big data technologies to extract meaning and value from data in a number of different industries, including Media & Entertainment, High Tech, Automotive, Consumer Products & Retail, Industrial Products, Manufacturing, Telecom, Aerospace & Defense, and Energy & Utilities.

The AI & Analytics group is the fastest growing digital practice at Capgemini demanding agile innovation. As part of the AI & 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 AI & Analytics practice group at Capgemini is the best place to grow your career.

Key Responsibilities

• Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions to solve business problems and create value by leveraging client data
• Work with team to quickly understand client needs, develop solutions, and collaboratively present findings to client executives
• Collaborate with team to provide data-driven recommendations and solutions to clients by clearly articulating complex technical concepts through generation and delivery of presentations
• Analyze and model both structured and unstructured data to generate value
• Use industry expertise and data science experience to uncover new opportunities with clients' data

Requirements

• 1 -2 years industry experience, with work in a quant or data scientist field preferred
• Master's degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field using R and Python
• Strong understanding and application of statistical methods and skills: distributions, variance and correlation analysis, A/B testing, and regression
• Deep Learning experience (NLP/Computer Vision): experience using Pytorch, Tensorfllow or Keras
• Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka and familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud

REQUIRED SKILLS: Data & AI,Formal Sciences,LLM,NLP tools,artificial intelligence,data science,generative AI,machine learning,mathematics,natural language processing and statistics.

Job Description

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

Job Description - Grade Specific

The primary responsibilities involves assisting with data cleaning, analysis, model development, visualization, and collaborating with the team to support data driven decision making.

The base compensation range for this role in the posted location is $60,000 to $80,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. 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 accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.