Data Scientist

Join Achievers, a fast-growing company dedicated to making every employee feel valued and engaged. As a Data Scientist, you'll have the opportunity to shape the work and craft, research and develop innovative AI and Machine Learning approaches, and lead high-impact initiatives that shape how millions of people experience work around the world. You'll work alongside an experienced leadership team, thrive in a fast-paced environment, and have access to a variety of benefits including flexible vacation, health benefits, and opportunities for professional development.

• Research and develop innovative AI and Machine Learning approaches to enhance employee engagement and recognition.
• Autonomously own part of the data strategy, working with diverse datasets to find actionable outcomes that improve customer experience.
• Collaborate with cross-functional teams to analyze data, uncover insights, and guide product investments or business directions.
• The successful candidate will also have experience working with a development team to translate their models into working software
• 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
• Excellent communication – written, conversational, presentation, and data-visualization
• 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
• Demonstrated experience working with both structured and unstructured data and a deep understanding of ML algorithms and statistical modeling
• 3+ years of experience analyzing product’s data, building AI/ML algorithms or making product focused impact with Data Science
• Experience working in social networks, recommender systems and/or NLP applications
• Demonstrated experience in leveraging data for actionable insights using different techniques including AI, GenAI and ML
• Have deployed models to production with an engineering team
• Experience with cloud platforms (e.g., GCP, BigQuery) and version control tools
• Experience in an HR space (e.g. People Analytics) or knowledge of Organizational Psychology is highly desirable
• Experience with both software engineering (ideally in an agile environment and with programming best practices) and empirical science
• Advanced degree in Statistics, Computer science, Behavioural Science or Mathematics preferred
• 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