Senior Data Scientist
CloudFactory
full-time
Posted on:
Location Type: Hybrid
Location: Kathmandu • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AirflowAWSAzureCloudDockerETLGoogle Cloud PlatformPythonSparkSQLTableau
About the role
- Design, train, and deploy advanced machine learning models for predictive insights.
- Enhance automation and optimize analytics methodologies for improved efficiency.
- Build predictive models to assess user and team performance, growth, and churn.
- Design analytics for customer health, behavioral trends, and upgrade/downgrade probabilities
- Lead efforts in fraud analytics, refining detection models and developing proactive strategies to mitigate risk and identify anomalies in data behavior.
- Explore new methodologies/LLMs/GenAI to improve data-driven decision-making.
- Predict future workload volumes based on historical data and trends to optimize resource allocation.
- Prepare and present compelling visual representations of the analysis that is easy to share and understand, with various stakeholders from exec level down.
Requirements
- 5+ years of hands-on experience in leading and implementing core data science projects.
- Expertise in advanced SQL for data extraction, manipulation, and analysis.
- Hands-on experience with Snowflake, including data warehousing, performance optimization, and query tuning to ensure efficient data retrieval and management.
- Strong proficiency in Python, including production-level coding and statistical packages.
- Solid background in Statistical Modeling, Time Series Analysis, Machine Learning, and AI.
- Deep understanding of cloud platforms (AWS/Azure/GCP) and big data tools (Spark, Databricks, Snowflake).
- Hands-on experience with Docker, AWS Lambda, Sagemaker, Airflow/Prefect for pipeline automation.
- Strong ability to assess the application of machine learning & statistical techniques for appropriate usage and evaluation.
- Well-versed in data engineering concepts, including data transformation, modeling, ETL pipelines.
- Expertise in data visualization and storytelling for impactful business insights.
- Good-to-Have: Experience in developing dashboards using Tableau or QuickSight.
- Familiarity with data integration tools like Fivetran and DBT.
Benefits
- - Great Mission and Culture
- - Meaningful Work
- - Market competitive salary
- - Quarterly variable compensation
- - Remote and Home working
- - Comprehensive medical cover
- - Group life insurance
- - Personal development and growth opportunities
- - Office snacks and lunch
- - Periodic team building and social events
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningpredictive modelingSQLPythonstatistical modelingtime series analysisdata engineeringdata visualizationETLautomation
Soft skills
leadershipcommunicationpresentationcollaborationanalytical thinking