Data Scientist ⭐

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.  
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