The Role
Research, develop, and deploy ML/AI solutions that power product features. Collaborate with product, engineering, and client teams to analyze data, build models, operationalize MLOps workflows, and generate insights to improve customer and product outcomes.
Summary Generated by Built In
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.
Why you'll love this role:
- Lead high-impact initiatives that shape how millions of people experience work around the world.
- 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.
- Join a close-knit, no-ego, high-performing team that solves meaningful problems and celebrates successes together.
- Work alongside an experienced leadership team who is genuinely invested in your career growth.
- Thrive in a fast-paced, high-growth environment where innovation is encouraged and your voice truly matters.
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 Workforce Science team to push the boundaries on what is known about the “how” and “why” of the ways people work and interact with their peers.
- 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.
- Develop repeatable frameworks and templates for insight generation, including benchmarking, demographic breakdowns, and engagement scoring.
- Bring an “A-Player” attitude: aiming for the happiness of your stakeholders; erring on the side of quick communication and deep collaboration; strong sense of integrity and respect toward your colleagues (and everyone) that you express with helpfulness – you’re a team-player
Experience we feel will set you up for success:
- 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.
- Experience with cloud platforms (e.g., GCP, BigQuery) and version control tools.
- Experience working in social networks, recommender systems and/or NLP applications
- Have deployed models to production with an engineering team.
- 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.
- Experience in an HR space (e.g. People Analytics) or knowledge of Organizational Psychology is highly desirable.
- 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
Bonus:
Why Achievers is a Great Place to Work™
At Achievers, we believe recognition is a powerful driver of connection. With more than 4.3 million users across 190 countries, our employee recognition and rewards platform empowers organizations to build cultures where people feel seen and valued, everyday. We’re a team of passionate, thoughtful builders who care deeply about our product, our customers, and each other. Visit achievers.com to see how we’re inspiring recognition everywhere.
Our Approach to Total Rewards
$108,000 - $150,000 reflects the salary range for this role, depending on experience, skills, and market data. We’re committed to providing a fair and competitive offer based on what you bring to the team. Each A-Players' compensation is reviewed at least annually against performance and impact in role. We want you to see your path to growth, understand your impact, and feel valued every step of the way.
Benefits and Perks for permanent full-time employees:
✨ Rewards for your impact through our Recognition and Rewards program
🩺 Health Benefits and Life Insurance Coverage beginning on your first day
👶🏼 Parental Leave Top-up
🙌🏼 Employer matched RRSP contributions
🏖️ Flexible Vacation to recharge, so you can bring your best
🤝🏽 Employee and Family Assistance Program offering mental health, legal, and financial counselling
🚀 Supported professional development and career growth (Linkedin Learning, mentorship)
👏🏼 Employee-Led Employee Resource Groups that celebrate our diversity
🧘♀️ Regular events designed to build connection, belonging, and well-being
🇨🇦 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. We encourage qualified candidates from all backgrounds and experiences to apply.
Achievers is committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any accommodations for your interview, such as assistive technology, wheelchair accessibility, or alternative formats of materials, please let us know. We are happy to make necessary arrangements to support your needs.
Skills Required
- Advanced degree in Statistics, Computer Science, Behavioural Science, or Mathematics
- 3+ years experience analyzing product data, building AI/ML algorithms, or making product-focused impact with Data Science
- Demonstrated experience leveraging data for actionable insights using AI, GenAI, and ML
- Experience working with structured and unstructured data and strong understanding of ML algorithms and statistical modeling
- Software engineering skills including scripting, OOP; fluency in Python and SQL
- Experience with cloud platforms (e.g., GCP, BigQuery) and version control tools
- Experience working in social networks, recommender systems and/or NLP applications
- Experience deploying models to production with an engineering team
- Excellent communication skills, including presentation and data visualization
- Experience with software engineering best practices and agile environments
- Experience in HR space (People Analytics) or knowledge of Organizational Psychology
- PhD in Machine Learning, Mathematics, Statistics, Computer Science or another quantitative field
- Expertise in ML methods including time series analysis, Hierarchical Bayes, decision trees, boosting, random forests, deep learning, neural networks
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The Company
What We Do
Great culture is the ultimate driver of organizational success. Achievers’ employee voice and recognition solutions bring your organization’s values and strategy to life by activating employee participation and accelerating a culture of performance. Achievers leverages the science behind behavior change, so your people and your organization can experience sustainable, data-driven business results anywhere in the world. Integrated insights fuel smarter solutions that deliver just-in-time nudges to the entire organization and an industry-best customer success and support team guides you on every step of the journey.
