Data Scientist - full-time

Our Data Scientists are a highly motivated and curious group. They're spearheading Achievers' efforts to build products powered by AI and enjoy solving all the problems that come with building at scale. We don't operate under a rigid structure, as a member of this team, you'll have the opportunity to shape the work and the craft.

In this role, you'll research and develop innovative AI and Machine Learning based approaches to help us deliver on our vision to make sure every employee feels valued, engaged, and knows their voice matters. You will have the opportunity to autonomously own part of our data strategy, work in one of the world's most diverse and complex data environments, and bring together loosely structured datasets to find actionable outcomes that improve our customers' experience.

We're looking for a Data Scientist with a strong background in applied Machine Learning, who has experience using data to produce models that power real-world solutions which are actively being used by customers. The successful candidate will also have experience working with a development team to translate their models into working software.

Bring your unique perspective to complex and challenging projects - apply your expertise in data science, influence technical direction, and share your knowledge with fellow team members.

How you'll shape Data Science at Achievers:

Work with a team of passionate data scientists on a variety of projects. Use both your IQ and EQ to support yourself, your team, and your company in achieving more inside and outside the office.

Work with Product Managers and Development teams to develop, deploy, and monitor Machine Learning solutions that are integrated into software products, ensuring scalability, reliability, and maintainability through modern MLOps practices.

Work with the Product team or other internal teams to analyse data such as feature usage and adoption and uncover insights to guide future product investments or business directions.

Work with the Client Success team to explore how recognition/engagement data relates to customer data and business metrics.

Collaborate with customer-facing teams, Product, and Data Engineering teams to analyze insights, feature usage and adoption to guide product investments, program optimization and business directions.

Advanced degree in Statistics, Computer science, Behavioural Science or Mathematics preferred

• 3+ years of experience analyzing product’s data, building AI/ML algorithms or making product focused impact with Data Science.
• Demonstrated experience in leveraging data for actionable insights using different techniques including AI, GenAI and ML.
• Demonstrated experience working with both structured and unstructured data and a deep understanding of ML algorithms and statistical modeling.
• Have software engineering skills (scripting is important for quick prototyping, but knowledge in OOP is crucial for the long run), fluency in Python and SQL.
• GCP, BigQuery) and version control tools.
• Experience working in social networks, recommender systems and/or NLP applications
• Excellent communication – written, conversational, presentation, and data-visualization.
• Experience with both software engineering (ideally in an agile environment and with programming best practices) and empirical science.

~ Bonus:

PhD in Machine Learning, Mathematics, Statistics, Computer Science or in another highly quantitative field

Expertise in machine learning methods including Time series analysis, Hierarchical Bayes; and Learning techniques such as Decision Trees, Boosting, Random Forests, Deep Learning, Neural Networks

We’re a team of passionate, thoughtful builders who care deeply about our product, our customers, and each other. 108,000 - $150,000 reflects the salary range for this role, depending on experience, skills, and market data. Each A-Players' compensation is reviewed at least annually against performance and impact in role. Benefits and Perk s for permanent full-time employees:

Health Benefits and Life Insurance Coverage beginning on your first day

Parental Leave Top-up

Flexible Vacation to recharge, so you can bring your best

Employee and Family Assistance Program offering mental health, legal, and financial counselling

Employee-Led Employee Resource Groups that celebrate our diversity

Hybrid flexibility, with time in our beautiful Liberty Village, Toronto office

Achievers is proud to be an equal opportunity employer committed to building a diverse, inclusive workplace where everyone can do their best work. If you require any accommodations for your interview, such as assistive technology, wheelchair accessibility, or alternative formats of materials, please let us know. We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools help our recruitment team but never replace decisions made by real people. If you would like more information about how your data is processed, please contact us.