Data Scientist

Job summary

- Job ID: 10570BR - Location: US (Remote) - Work Setup: Remote - Job Category: Engineering - Posting Date: May 21, 2026 Job Summary As a Data Scientist at Del***, you will leverage advanced analytics and machine learning techniques to solve complex business challenges.

Benefits

Qualifications

• to ensure data quality and availability.
• Document analyses thoroughly, including methodology, assumptions, and limitations to ensure reproducibility.
• Support production models by monitoring performance, investigating issues, and recommending improvements.
• Required
• 3-5 years of hands-on data science experience, including model building and statistical analysis.
• Strong understanding of hypothesis testing, regression, classification, and clustering methods.
• Proficiency in Python (pandas, scikit-learn, matplotlib/seaborn) and SQL.
• Practical experience building and evaluating predictive models; familiarity with common algorithms.
• Ability to clean, transform, and prepare real-world data for analysis.
• Experience creating visualizations and dashboards using Tableau, Power BI, or Python libraries.
• Ability to present findings clearly to both technical and business audiences.
• Experience with Jupyter notebooks, Git, and collaborative data science workflows.

Responsibilities

• As a Data Scientist at Del***, you will leverage advanced analytics and machine learning techniques to solve complex business challenges.
• You will work with large, diverse datasets to uncover actionable insights, build predictive models, and communicate findings through compelling visualizations and reports.
• Build predictive models using classification, regression, clustering, and time series techniques to address business needs.
• Perform exploratory data analysis to identify patterns, anomalies, and insights in large datasets from multiple sources.
• Create features from structured and unstructured data; apply feature engineering to enhance model performance.
• Develop and validate models using train/test splits, cross-validation, and appropriate evaluation metrics.
• Conduct A/B tests and analyze experiments to measure the impact of product changes or new features.
• Build dashboards and reports to communicate findings; create data visualizations that tell compelling stories.
• Collaborate with data engineers on data pipeline

Skills

Degrees

Industry

Company size

Contract length