**Mission Statement:**
Culture Amp is dedicated to making a better world of work through innovative technology and employee experience.
**About Us:**
Culture Amp empowers companies to transform employee engagement, drive performance management, and develop high-performing teams using people science and data analytics.
Job Description
We are seeking a talented Data Scientist to join our team. This role will focus on developing AI-powered features and actionable insights in our industry-leading product suite.
The ideal candidate will have expertise in machine learning, statistics, and data visualization, with experience working with large datasets and building robust data pipelines.
Key Responsibilities:
* Collaborate with Machine Learning engineers and other data scientists to develop, test, and deploy AI-powered features
* Solve real-world challenges with an ethical and human-centric approach
* Develop robust data pipelines, LLM-based enrichment processes, and RAG systems
* Participate in broader conversations and skills sharing with engineers, people scientists, and data scientists
* Stay up-to-date with current research, literature, and provider offerings to enable pragmatic application to Culture Amp's customer needs
Requirements:
* Comfortable with SQL and enterprise database systems like Redshift or Postgres
* Experience with data processing tools like DBT and Dask
* Strong background in Python data science space (LangChain, LangSmith, pandas, numpy, scikit-learn, scipy, Hugging Face, etc.)
* Understanding of statistical and machine learning models
* Knowledge of experimental design, statistical testing, and model validation
* Experience in data visualization tools like Plotly, Seaborn, Streamlit, etc. (advantageous)
* Understanding of data modeling and exposure to tools like Metaflow or Airflow (desirable)
* Common software practices like version control, continuous deployment, and testing
* Industry or equivalent academic experience in researching and developing Generative AI-powered products and services
Desired Skills:
* Curiosity and a learning mindset
* Pragmatic, critical thinking with the ability to ask questions and back up assertions with logic and data
* Able to make complex ideas simple and effectively communicate with stakeholders
* Excited about making data and AI products that have real impact in people's lives
* Passionate about creating a better world of work
Benefits
At Culture Amp, we believe that our employees are the heartbeat of our success. We offer a range of benefits to support your personal and professional growth, including:
* Competitive compensation package
* Employee Share Options Program: Empower you to be an owner in Culture Amp and share in our success
* Programs, coaching, and budgets to help you thrive personally and professionally
* Access to external providers for mental wellbeing and coaching support
* Monthly Camper Life Allowance: An automatic allowance paid out each month with your pay
* Team budgets dedicated to team-building activities and connection
* Intentional quarterly wellbeing pauses: A quarterly company-wide shutdown day in each region
* Extended year-end breaks
* Excellent parental leave and in-work support program available from day 1 of joining Culture Amp
* 5 Social Impact Days a year to make a positive impact on the community outside of work
* MacBooks for you to do your best & a work-from-home office budget to spend on setting up your home office
* Medical insurance coverage for you and your family (Available for US & UK only)
Commitment to Diversity, Equity, and Inclusion
We're committed to diversity, equity, and inclusion, with Employee Resource Groups and ally communities in place. We have a strong commitment to Anti-Racism, and endeavor to lead by example. Every step we make as a business towards anti-racism is another step we can take to support our customers in making a better world (of work). You can see our current commitments to Anti-Racism here.
Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria – unlike majority candidates meeting significantly fewer requirements. We strongly encourage you to apply if you're interested: we'd love to know how you can amplify our team with your unique experience.