Job Title : Senior Data Scientist
Salary : CA$1,35,771 per year
Location : Toronto, ON
Company : Cognizant
Qualifications : Master’s degree
Experience : 3+ Years of relevant work experience
ABOUT COGNIZANT
Cognizant Technology Solutions, a worldwide leader in digital transformation and era consulting, operates in Canada beneath the name Cognizant Canada. The corporation offers a wide variety of offerings such as IT consulting, digital strategy, era implementation, and commercial enterprise procedure outsourcing across diverse industries which includes economic services, healthcare, retail, and production.
In Canada, Cognizant specializes in turning in progressive answers that help organizations harness the electricity of digital technologies to force growth, beautify operational efficiency, and improve patron experiences. They are regarded for his or her understanding in regions which include cloud computing, artificial intelligence, cybersecurity, and statistics analytics.
Cognizant Canada locations a robust emphasis on patron satisfaction, leveraging its international enjoy and nearby market understanding to tailor solutions that meet the specific needs of Canadian agencies. With a dedication to sustainability and network involvement, Cognizant also actively participates in tasks geared toward creating a wonderful effect on society and the surroundings.
Job Overview
A Senior Data Scientist plays a pivotal role in leveraging records to power strategic selections within an company. They are accountable for main complex analytics initiatives, making use of advanced statistical and gadget mastering strategies to extract insights, and growing scalable fashions. Collaborating intently with pass-practical groups, they interpret findings into actionable hints, contributing to commercial enterprise increase and innovation. Senior Data Scientists additionally mentor junior group members, live abreast of industry developments, and constantly refine methodologies to make certain facts-pushed excellence throughout the organisation.
Requirements and skills for a Senior Data Scientist:
1. Education and Experience:
- Education: A Master’s or PhD in Computer Science, Statistics, Mathematics, Data Science, or a associated quantitative field is frequently required. Some roles can also accept candidates with a Bachelor’s degree if coupled with sizeable relevant enjoy.
- Experience: Typically, five years of experience in records science roles, with a demonstrated music record of delivering impactful insights and main complicated initiatives. Experience in industries including finance, healthcare, e-trade, or technology is frequently desired because of the variety of data demanding situations.
2. Technical Skills:
- Statistical Analysis and Modeling: Proficiency in statistical methodologies, hypothesis trying out, regression evaluation, and predictive modeling.
- Machine Learning: Strong understanding and sensible experience with diverse device getting to know strategies consisting of class, clustering, herbal language processing (NLP), and deep getting to know.
- Programming: Advanced proficiency in programming languages which include Python, R, or Scala, at the side of libraries like TensorFlow, PyTorch, Scikit- examine, and Pandas.
- Big Data Tools: Experience with disbursed computing tools and systems such as Hadoop, Spark, or comparable frameworks for dealing with massive-scale datasets.
- Database Knowledge: Familiarity with SQL and NoSQL databases, able to write complicated queries and work with database systems successfully.
- Data Visualization: Ability to create clean and compelling visualizations the use of gear like Tableau, Power BI, matplotlib, or ggplot.
3. Soft Skills:
- Problem-Solving: Strong analytical and hassle-fixing skills, able to structure and tackle complicated data demanding situations.
- Communication: Excellent verbal and written conversation capabilities, capable of explaining complex technical ideas to non-technical stakeholders and influencing decision-making.
- Project Management: Experience in main and coping with statistics technology projects from inception to of entirety, together with scoping, making plans, and execution.
- Team Collaboration: Proven ability to work effectively in pass-purposeful teams, collaborating with engineers, commercial enterprise analysts, and executives.(Senior Data Scientist)
- Adaptability: Ability to thrive in a quick-paced and dynamic environment, speedy adapting to new technology and methodologies.
4. Domain Knowledge:
- Industry Expertise: Depending on the enterprise, familiarity with precise industry domain names together with retail, healthcare, fintech, or cybersecurity can be required. Understanding enterprise-particular demanding situations and rules complements the effectiveness of statistics-pushed answers.
5. Leadership and Mentorship:
- Leadership Skills: Capability to offer strategic steering and leadership in information technological know-how initiatives, aligning them with business dreams.(Senior Data Scientist)
- Mentorship: Willingness to mentor and coach junior data scientists, fostering their expert increase and contributing to team improvement.
6. Continuous Learning:
- Stay Updated: A dedication to staying abreast of the modern advancements in facts technology, device gaining knowledge of, and associated fields via continuous gaining knowledge of, publications, conferences, or studies guides.
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