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

- 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.

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

- 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.

Predictive Modeling and Machine Learning

- Develop and deploy predictive models using machine learning algorithms.
- Perform feature engineering, model selection,



and hyperparameter tuning to optimize model performance.
- Evaluate model accuracy, precision, recall, and other performance metrics.

Data Mining and Pattern Recognition

- Apply data mining techniques to extract actionable insights from structured and unstructured data.
- Identify patterns and anomalies in data to detect fraud, predict customer behavior, or optimize business processes.
- Implement clustering, classification, regression, and other machine learning algorithms as needed.

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.

Collaboration and Communication

- Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders.
- Translate technical findings into actionable insights and recommendations for non-technical audiences.
- Present findings and proposals in clear, concise, and compelling ways.

Requirements

- 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, PyTorch, etc.).
- 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.

Work model

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 significant 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

These will help you stand out

- 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

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 betwee

📌 Data Scientist (Toronto)
🏢 Cognizant
📍 Toronto