Posted 9 days ago
Data Scientist (Hybrid)
@ Cognizant
Toronto, Ontario
SIGNALS
Overview
Cognizant is hiring a Data Scientist for a hybrid full-time role. The work involves analyzing complex datasets, building and deploying predictive machine learning models, and running experiments and A/B tests to support data-driven decisions. The posting states a base salary of $75,000 to $115,000 per year plus a discretionary annual bonus.
Responsibilities:
- Analyze large complex datasets to find trends and patterns
- Build and deploy predictive machine learning models
- Design experiments and run A/B tests
- Translate technical findings into business recommendations
Requirements summary:
- Master's or Ph.D. in a quantitative field
- Proven data science or machine learning experience
- Proficiency in Python or R
- Strong statistics and experimental design knowledge
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-04
- First seen by our source
- 2026-11-14
- Source record updated
- 2026-11-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Data & analytics |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required), Doctorate (required) |
| Fields of study | Computer Science, Physics, Statistics, Mathematics, Economics |
| Perks mentioned | Performance bonus, Wellness |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Cognizant
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Full company description
Cognizant (Nasdaq-100: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we’re improving everyday life. See how at www.cognizant.com or @cognizant.
- LinkedIn followers
- 9,028,531
- People associated on LinkedIn
- 354,087
- Reported office locations
- 300 Frank W Burr Blvd, Suite 600, Teaneck, New Jersey 07666, US
- Second Floor, Phoenix, Arizona 85029, US
- Thoraipakkam, Chennai, Tamil Nadu 600 096, IN
- 1 Kingdom Street, Paddington Central, London, W2 6BD, GB
- 3rd floor, Technopolis, Kakkanad, Kochi, Kerala 682 037, IN
- Soroksári út, 44., Budapest, Budapest 1095, HU
- 129 Church St, New Haven, CT 06510, US
- 15 William St, Melbourne, VIC 3000, AU
- 50 Boulevard Haussmann, Paris, IdF 75009, FR
- Via Monte di Pieta, 21, Milan, Lomb. 20121, IT
- Havenlaan 86C, Box 408, Brussels, Brussels Region 1000, BE
- 7301 Ohms Ln, Edina, MN 55439, US
- Anson Rd, Singapore, Singapore, SG
- 28 Margaret St, Sydney, NSW 2000, AU
- aleja Grunwaldzka 411, Gdansk, PM 80-309, PL
- 9655 Maroon Circle, Englewood, CO 80112, US
- Hardstrasse 201, Prime Tower office 18th floor, Zurich, 8005, CH
- St.-Martin-Straße 106, Munich, BY 81669, DE
- Drammensveien 145B, Oslo, Oslo 0277, NO
- Savanoriu prospektas 16, Vilnius, Vilniaus 03116, LT
- Calle Miraflores 222, Santiago, Santiago Metropolitan 8320000, CL
- Toldbodgade, Copenhagen, Capital Region 1253, DK
- Placa d'Europa, l'Hospitalet de Llobregat, Catalonia 08908, ES
- Calle Moreno no. 845 to 899, on the corner of Calle Tacuarí no. 242 to 292, Buenos Aires, AR
- Tucumán 3720, Bulnes Street, Buenos Aires, AR
- 200 Barangaroo Avenue, Barangaroo, New South Wales, AU
- Science Hub Tower 4, 1110 Campus Avenue, Mckinley Hill Cyber Park, 1st-4th floor, Taguig City , 1634, PH
- Avenida das Nações Unidas 14.171, Vila Gertrudes, Torre A – Ebony – 6° andar, São Paulo, SP, CEP 04794-000, BR
- Business categories
- Travel
- Software Engineering
- Electronics
- Health Care
- Consulting
- Software
- Cloud Computing
- Medical
- Manufacturing
- Information Technology
- Retail
- Financial Services
- Industrial Automation
- Artificial Intelligence (AI)
- Business Process Automation (BPA)
- Other recorded names
- Cognizant
- Specialties
- Interactive
- Intelligent Process Automation
- Digital Engineering
- Industry & Platform Solutions
- Internet of Things
- Artificial Intelligence
- Cloud
- Data
- Healthcare
- Banking
- Finance
- Fintech
- Manufacturing
- Retail
- Technology
- and Salesforce
- Profile identifies a recruitment agency
- No
- Reported total investment
- 241,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Cognizant (Nasdaq-100: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we’re improving everyday life. See how at www.cognizant.com or @cognizant.
| Field | Value |
|---|---|
| Industry | IT Services and IT Consulting |
| Company size | 10,001+ employees |
| Headquarters | Teaneck, New Jersey |
| Organization type | Public Company |
| Specialties | InteractiveIntelligent Process AutomationDigital EngineeringIndustry & Platform SolutionsInternet of ThingsArtificial IntelligenceCloudData HealthcareBanking |
| Open jobs on Jobsy | 20 |
| View page |
Job description
Overview
We are looking for a talented and experienced Data Scientist to join our dynamic team. As a Data
Scientist, you will leverage your analytical skills and expertise in machine learning to extract insights from
complex datasets and drive data-driven decision-making across our organization. You will collaborate
closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve
challenging business problems.
Responsibilities
Data Analysis and Exploration
Experimentation and A/B Testing
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
What you need to have to be considered
an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Total Compensation
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $75000– $115000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing
We are looking for a talented and experienced Data Scientist to join our dynamic team. As a Data
Scientist, you will leverage your analytical skills and expertise in machine learning to extract insights from
complex datasets and drive data-driven decision-making across our organization. You will collaborate
closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve
challenging business problems.
Responsibilities
Data Analysis and Exploration
- Analyze large, complex datasets to identify trends, patterns, and relationships.
- Conduct exploratory data analysis (EDA) to gain insights and formulate hypotheses.
- Utilize statistical methods and data visualization techniques to communicate findings effectively.
- Develop and deploy predictive models using machine learning algorithms.
- Perform feature engineering, model selection, and hyperparameter tuning to optimize model
- Evaluate model accuracy, precision, recall, and other performance metrics.
- Apply data mining techniques to extract actionable insights from structured and unstructured
- Identify patterns and anomalies in data to detect fraud, predict customer behavior, or optimize
- Implement clustering, classification, regression, and other machine learning algorithms as
Experimentation and A/B Testing
- Design and conduct experiments to test hypotheses and validate model assumptions.
- Implement A/B testing frameworks to evaluate the impact of changes and interventions.
- Analyze experimental results and provide recommendations for further optimization.
- Collaborate with cross-functional teams, including engineers, product managers, and business
- Translate technical findings into actionable insights and recommendations for non-technical
- Present findings and proposals in clear, concise, and compelling ways.
- Advanced degree (Master's or Ph.D.) in Computer Science, Physics, Statistics, Mathematics, Economics,
- Proven experience in data science, machine learning, or predictive analytics roles.
- Proficiency in programming languages commonly used in data science (e.g., Python, R, etc.).
- Strong understanding of statistical analysis, hypothesis testing, and experimental design.
- Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit-learn,
- Familiarity with data visualization tools and techniques (e.g., Matplotlib, ggplot, Tableau, etc.).
- Excellent problem-solving and analytical skills with attention to detail.
- Effective communication and collaboration abilities in a team environment.
- Ability to manage multiple projects and prioritize tasks effectively.
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
What you need to have to be considered
- List the most important qualifications in descending order
- Top 5 most important contributions in descending order
- Only go beyond 5 if absolutely necessary
- Be concise but informative
- Related duties should be combined
- List the most important nice-to-haves in descending order
- Top 5 most important contributions in descending order
- Only go beyond 5 if absolutely necessary
- Be concise but informative
an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Total Compensation
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $75000– $115000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing
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