Senior Analytics Engineer
Chainalysis
Amazon RedshiftBigQueryCloudPythonSQL
Senior Data Scientist, Video Call
Duolingo
full-time
Posted on:
Location Type: Office
Location: New York City • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $177,700 - $300,000 per year
Job Level
Senior
Tech Stack
Amazon RedshiftBigQueryCloudPythonSQL
About the role
- Lead the cycle of turning ideas into production-grade data science solutions, ensuring long-term viability and robustness
- Apply advanced analytical methods, causal inference, machine learning, and AI to model user behavior and partner with product and engineering teams to build scalable business frameworks and solutions
- Drive the data lifecycle: understand, extract, transform, and validate data across multiple sources via relevant tools (e.g., SQL, R, Python)
- Partner with data engineers and business intelligence to turn insights into data products (e.g., data pipelines, algorithms, self-service dashboards)
- Communicate findings effectively to executive partners and collaborate with product teams to integrate insights into strategy and decision-making
- Stay on top of developments in statistical methods and LLMs, and drive continuous improvement in internal tools and analytical practices
- Provide guidance and mentorship to junior data scientists, encouraging an environment of excellence, innovation, and collaboration
- Collaborate closely with leadership in Engineering, Product Management, and Learning to develop and deliver metrics, attribution models, and actionable business analyses
Requirements
- Bachelor’s degree in a relevant field (e.g., Data Science, Economics, Business Analytics, Information Systems, or a related quantitative field)
- 5+ years of work experience using analytics to solve product or business problems
- Coding (e.g., Python, R, SQL)
- Querying databases and statistical modeling
- Outstanding problem-solving abilities and capacity to translate complex data into actionable insights
- Excellent verbal and written communication skills with the ability to collaborate effectively with both technical and non-technical partners
- Able to relocate to and work in our New York office
- Advanced degree in Data Science, Economics, Statistics, or an equivalent quantitative field (preferred)
- Strong experience in developing and implementing an analytic vision to solve business-relevant problems (preferred)
- Ability to lead multiple complex work streams and develop partnerships across organizational boundaries (preferred)
- Experience with big data and cloud computing technologies like Redshift, Snowflake, BigQuery (preferred)
- Experience training machine learning models and deploying them in production (preferred)
- Familiarity with AI tools such as Cursor and prompt engineering (preferred)
- Experience at a high-growth company that has undertaken an IPO (preferred)
- An impressive Duolingo XP or streak (preferred)
Benefits
- equity compensation
- world-class benefits
- If you need assistance or accommodation for the interview, contact accommodations@duolingo.com
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencemachine learningAIcausal inferencestatistical modelingPythonRSQLdata pipelinesbig data
Soft skills
problem-solvingcommunicationcollaborationmentorshipleadershipinnovationexcellenceanalytical thinkingstrategic thinkingadaptability
Certifications
Bachelor’s degree in Data ScienceBachelor’s degree in EconomicsBachelor’s degree in Business AnalyticsBachelor’s degree in Information SystemsAdvanced degree in Data ScienceAdvanced degree in EconomicsAdvanced degree in Statistics
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