- Job Role: Data Scientist Lead
- Salary: Not Disclosed
- Location: Bay Adelaide East 8 Adelaide Street West, Suite 200, Toronto, ON M5H 0A9
- Company: Deloitte
- Qualifications: Graduate
- Experience: 2-3 years
ABOUT DELOITTE
Deloitte Canada is a leading professional services firm, offering ann extensive variety of offerings together with audit and warranty, consulting, tax, and advisory. As a part of the worldwide Deloitte community, the employer allows clients to navigate complex commercial enterprise challenges through progressive solutions and modern-day generations. With a strong focus on enterprise-unique information, Deloitte Canada serves customers across sectors including finance, healthcare, power, and era.
The corporation is devoted to developing an advantageous impact by fostering an inclusive place of business, advancing sustainability projects, and helping communities via social duty applications. With a team of talented professionals, Deloitte Canada is identified for its idea leadership, handing over extraordinary costs to customers at the same time as empowering employees to expand their careers. The organization is known for its collaborative subculture, dedication to innovation, and dedication to creating a distinction within the groups it serves.
Job Description:
The Data Scientist Lead is chargeable for overseeing the facts science team, riding the development and implementation of superior analytical models and system getting to know solutions. This function includes designing records-driven strategies, dealing with cease-to-end task lifecycles, and mentoring junior information scientists. The Lead collaborates with cross-useful groups to clear up complicated enterprise issues, the usage of statistical evaluation, and predictive modeling techniques. A sturdy heritage in statistics technology, programming (Python, R), and experience with massive facts technologies are important. Excellent communication and leadership abilties are required to guide the group toward reaching enterprise objectives.
Qualifications and Skills for Data Scientist Lead:
Educational Background:
- A Master’s or Ph.D. Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline is normally required. Relevant certifications or specialized training in gadget studying, AI, or huge statistics technology also are valuable.
Experience:
- Proven revel of 5+ years in information science or analytics, with at least 2-3 years in a management position or coping with groups.
- Hands-on enjoy in constructing gadgets studying fashions, deploying solutions, and implementing algorithms to remedy real-world commercial enterprise issues.
- Expertise in managing cease-to-quit information technological know-how tasks, from statistics series, cleaning, and exploration to version deployment and upkeep.
Technical Skills:
- Proficiency in programming languages which includes Python, R, or SQL. Familiarity with different languages like Java or Scala is beneficial.
- Experience with device mastering frameworks like TensorFlow, Keras, Scikit-examine, or PyTorch.
- Deep know-how of statistical techniques, speculation checking out, and facts visualization techniques.
- Proficient in operating with massive records technology inclusive of Hadoop, Spark, and cloud structures like AWS, Azure, or Google Cloud.
- Experience with wrangling, feature engineering, and information preprocessing.
- Familiarity with deep getting-to-know and natural language processing (NLP) is a plus.
Leadership and Communication Skills:
- Strong team management and venture control skills, with the ability to mentor and manual junior facts scientists.
- Excellent conversation and interpersonal talents to present complex data insights to non-technical stakeholders and executives.
- Ability to translate commercial enterprise needs into analytical answers and communicate findings honestly, making pointers primarily based on statistics insights.
- Strong problem-solving capabilities, critical thinking, and an analytical mindset to drive innovation and efficiency.
Business Acumen:
- Ability to recognize commercial enterprise targets and align statistics technological know-how solutions to power strategic selections.
- Experience in running in various industries, such as e-commerce, finance, healthcare, or marketing, and information on how records technological know-how can optimize operations and effects.
Continuous Learning:
- Strong preference to keep up with rising tendencies in AI, device learning, and information science, and observe the modern methodologies to business demanding situations.
- A Data Scientist Lead combines technical expertise with leadership talents to pressure facts technology tasks, innovate solutions, and create impactful commercial enterprise techniques.
Click Here to Apply Now
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