Publié il y a 9 jours
Data Scientist (Hybrid)
@ Cognizant
Toronto, Ontario
SIGNAUX
Résumé des exigences :
- Advanced degree (Master's or Ph.D.) in Computer Science, Physics, Statistics, Mathematics, Economics,
- or related field.
- 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,
Outils et compétences
Analytical skillsMachine learningDecision makingEDAData visualizationComputer scienceStatisticsProgramming languagesPythonRTensorFlowScikit-learnPyTorchTableau
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-04
- Première détection par notre source
- 2026-11-14
- Mise à jour du dossier source
- 2026-11-14
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Cognizant
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Description complète de l’entreprise
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.
- Abonnés LinkedIn
- 9 028 531
- Personnes associées sur LinkedIn
- 354 087
- Bureaux déclarés
- 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
- Catégories d’activité
- 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)
- Autres noms enregistrés
- Cognizant
- Spécialités
- 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
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 241 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
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.
| Champ | Valeur |
|---|---|
| Secteur | IT Services and IT Consulting |
| Taille | 10,001+ employees |
| Siège social | Teaneck, New Jersey |
| Type d’organisation | Public Company |
| Spécialités | InteractiveIntelligent Process AutomationDigital EngineeringIndustry & Platform SolutionsInternet of ThingsArtificial IntelligenceCloudData HealthcareBanking |
| Offres sur Jobsy | 6 |
| Voir la page |
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
Journal
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