Senior Data Scientist
Job description
Senior Data Scientist at Bamboohr.
About the role
Bamboohr is seeking a highly skilled Senior Data Scientist to join our innovative team in London, Ontario. This position is ideal for individuals who are passionate about leveraging data to drive business insights and enhance decision-making processes. As a Senior Data Scientist, you will play a pivotal role in developing advanced analytical models and algorithms that can transform raw data into actionable strategies. You will collaborate with cross-functional teams to ensure that data-driven solutions are effectively integrated into our business operations.
Key facts
What you'll do
- Design and implement robust data models and algorithms to solve complex business problems and enhance operational efficiency.
- Analyze large datasets to extract meaningful insights and trends that can inform strategic decisions across various departments.
- Collaborate with software engineers and product managers to integrate data science solutions into existing products and services.
- Develop and maintain dashboards and visualizations to communicate findings and performance metrics to stakeholders.
- Conduct experiments and A/B testing to evaluate the effectiveness of different strategies and optimize outcomes.
- Mentor junior data scientists and analysts, providing guidance on best practices in data analysis and modeling techniques.
- Stay updated with the latest advancements in data science and machine learning, applying new techniques to improve existing processes.
- Participate in the design and execution of data collection processes, ensuring data integrity and accuracy throughout.
- Work closely with business leaders to identify opportunities for leveraging data to drive business growth and innovation.
- Present findings and recommendations to both technical and non-technical audiences, ensuring clarity and understanding of complex concepts.
- Contribute to the development of the data science team's strategic roadmap, aligning projects with organizational goals.
- Collaborate with external partners and vendors to enhance data capabilities and explore new technologies.
Requirements
- A Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- At least 5 years of experience in data science or a related analytical role, with a proven track record of delivering impactful data-driven solutions.
- Proficiency in programming languages such as Python and R, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Strong understanding of machine learning algorithms and statistical modeling techniques, with hands-on experience in applying them to real-world problems.
- Familiarity with data visualization tools such as Tableau, Power BI, or similar platforms to effectively communicate insights.
- Experience with SQL and database management systems for data extraction and manipulation.
- Excellent problem-solving skills, with the ability to think critically and analytically about complex data challenges.
- Strong communication skills, capable of conveying technical concepts to non-technical stakeholders.
- Ability to work independently as well as collaboratively in a team-oriented environment.
Nice to have
- Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying data science solutions.
- Knowledge of big data technologies such as Hadoop, Spark, or similar frameworks.
- Familiarity with software development practices, including version control systems like Git.
- Experience in a specific industry such as finance, healthcare, or e-commerce, which can provide context to data challenges.
- Understanding of ethical considerations in data science and a commitment to responsible data usage.
Skills & tools
- Proficient in Python, R, SQL, and data visualization tools (Tableau, Power BI).
- Knowledge of machine learning frameworks (e.g., TensorFlow, Scikit-learn) and libraries for statistical analysis.
- Familiarity with data processing tools and technologies (e.g., Apache Spark, Hadoop).
- Strong analytical skills with a focus on data-driven decision-making.
- Excellent communication and presentation skills, with the ability to engage diverse audiences.
Practical notes
- This position is based in London, Ontario, and may require occasional travel for team meetings or conferences.
- Candidates must be eligible to work in Canada; sponsorship for work visas is available for the right candidate.
- The role may involve flexible working hours to accommodate collaboration with international teams.
META
Company: Bamboohr
Title: Senior Data Scientist
Listed
location: London, Ontario
Job type: Full-time
Apply URL: https://itps.bamboohr.com/careers/128
Tags: AI