Data Scientist
at Tata Consultancy Services
Toronto, ON, Canada -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 23 Jan, 2025 | Not Specified | 24 Oct, 2024 | N/A | Containerization,Developments,Optimization,Communication Skills,Python,Privacy Compliance,Requirements Gathering,Statistics,Learning Techniques,Data Analysis,Computer Science,Java,It,Data Science,Neural Networks,Orchestration,Languages,Hadoop,R | No | No |
Required Visa Status:
| Citizen | GC |
| US Citizen | Student Visa |
| H1B | CPT |
| OPT | H4 Spouse of H1B |
| GC Green Card |
Employment Type:
| Full Time | Part Time |
| Permanent | Independent - 1099 |
| Contract – W2 | C2H Independent |
| C2H W2 | Contract – Corp 2 Corp |
| Contract to Hire – Corp 2 Corp |
Description:
Responsibilities:
- Advanced degree in data science, statistics, computer science, or similar.
- Extensive experience as a data scientist
- Hands-on Years with Overall Years of experience in related field.
- Proficiency in R or Python, where the former is preferred.
- Solid and demonstrable knowledge of machine learning techniques andalgorithms.
- Excellent programming skills in languages such as Java or Python.
- Experience with big data technologies and data analysis software like R.
- Proficiency in deploying scalable machine learning solutions in productionenvironments, leveraging cloud platforms (AWS Cloud) and technologies likeDocker and Kubernetes for containerization and orchestration.
- Exposure to natural language processing, image processing techniques, and bigdata stacks like Hadoop or Apache Spark is highly desirable.
- Strong background in designing and implementing deep learning architectures,including Convolutional Neural Networks (CNNs), Recurrent Neural Networks(RNNs), and Transformer models, to solve complex problems in natural languageprocessing, and sequential data analysis.
- Proficient in the ethical and responsible use of AI, including understandingbiases in data and models, ensuring privacy compliance (e.g., GDPR), andpromoting transparency and fairness in machine learning applications.
- Familiarity with NoSQL databases, enterprise search technologies, andrecommendation systems.
- Strong communication skills and the ability to work collaboratively acrossteams.
- In-depth understanding of SQL.
- Demonstrable history of devising and overseeing data-centered projects.
- Ability to relay insights in layman’s terms, such that these can be used toinform business decisions.
- Adaptable and comfortable with ambiguity.
- Proficient in utilizing big data processing frameworks such as Apache Sparkand Hadoop for handling and analyzing large datasets, enabling the extractionof meaningful insights from voluminous data.
- Relate d CertificationsRoles and Responsibilities:
- Formulating, suggesting, and managing data-driven projects that are geared atfurthering business interests.
- Developing and implementing advanced analytics models.
- Leading data-driven decision-making processes.
- Managing data science projects from conception to deployment.
- Collating and cleaning data from various entities for use in downstream system/ reporting.
- Selecting and employing advanced statistical procedures to obtain actionableinsights.
- Cross-validating models to ensure their generalizability.
- Producing and disseminating nontechnical reports that detail the successes andlimitations of each project.
- Suggesting ways in which insights are obtained might be used to informbusiness strategies.
- Staying informed about developments in Data Science and adjacent fields toensure that outputs are always relevant.
- Working closely / collaboration with business partners and IT, facilitatingbusiness requirement elicitation sessions.
- Collaborate with stakeholders at all levels to elicit, define, and developstrategic deliverables for complex initiatives. This involves ensuringcomprehensive understanding and alignment.
- Apply Agile techniques, such as user story mapping, personas, and story pointestimation, to facilitate effective requirements gathering, analysis, andprioritization.
- Provide expert technical guidance within your domain to address and anticipatebusiness implications resulting from organizational changes and technologicaladvancements.
- Conduct in-depth analysis of business processes, systems, and data to identifyopportunities for improvement, optimization, and innovation.
- Develop and present comprehensive recommendations and options to address andresolve complex business challenges, leveraging your expertise and industrybest practices.
- Review high-level designs, test strategies, and test plans to ensure alignmentwith strategic objectives and overall requirements.
- Drive process improvements by collaborating with business par
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
Analytics & Business Intelligence
Software Engineering
Graduate
Computer Science, Statistics
Proficient
1
Toronto, ON, Canada
