Data Scientist

Wizeline, Inc.
San Francisco, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

A/B Testing Artificial Intelligence Data Analysis Cluster Analysis Continuous Integration Python (Programming Language) Linear Regression Linear Programming Machine Learning Natural Language Processing Azure Machine Learning SQL Databases
+7 more
Data Processing Feature Engineering Apache Spark Deep Learning Machine Learning Operations Spacy Databricks

Job description

Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role. As a Data Scientist, you will lead medium-complexity data science projects, build robust predictive models, and partner with cross-functional teams to translate analytical outputs into business impact., * Own the end-to-end development of predictive and forecasting models, applying advanced statistical and feature engineering techniques.

  • Lead complex analyses, including segmentation, clustering, churn prediction, linear optimization, and NLP.
  • Collaborate with Data Engineers to optimize Spark pipelines and with MLOps engineers for deployment on Azure Databricks.
  • Standardize analytical templates and present data-driven insights to business partners with clear narratives and actionable steps.

Requirements

  • Experience: 4+ years of experience in data science, analytics, or applied ML.
  • Language: Advanced English level (Essential for presenting ideas clearly and consulting with diverse global stakeholders).
  • Strong technical expertise in Python and SQL.
  • Proven experience with Spark and Databricks for scalable data processing.
  • Clear understanding of linear regression, clustering techniques, and experimentation methods (A/B testing, MLflow).
  • Strong storytelling and consultative skills to effectively explain complex solutions, answer business questions, and “sell” data-driven ideas.

Nice-to-have

  • AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
  • Experience with deep learning, modern NLP stacks (Transformers, spaCy), or cloud ML services like Azure ML.
  • Familiarity with CI/CD concepts or basic MLOps practices.

Benefits & conditions

  • A High-Impact Environment
  • Commitment to Professional Development
  • Flexible and Collaborative Culture
  • Global Opportunities
  • Vibrant Community
  • Total Rewards *Specific benefits are determined by the employment type and location.

Find out more about our culture here.

About the company

Wizeline is a product design and development services company that builds data-driven, cloud-native products and platforms for its clients., Our commitment to D&I is reflected in the opportunities we provide for success on a broad basis, recognizing that talent is widely dispersed.

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