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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Talascend LLC - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $93,600.0 - $108,160.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Data Governance, Database Queries, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, NumPy, Object-Oriented Software Development, Salesforce.Com, SAP (Applications), SciPy, Enterprise Data Management, Pandas, Scikit Learn, Information Technology, Data Lineage, Databricks - **Published:** September 11, 2026 - **Apply:** https://www.talascend.com/portal/jobseekers/jobs/136169/application ## About the Role * Bachelor's degree in a related field (e.g., Data Science, Computer Science, Statistics). * 3+ years of experience in data analysis, machine learning, or data science roles. * Proficiency in Python with experience in pandas, numpy, scikit-learn, scipy, and object-oriented programming. * Experience building scenario models, performing what-if analysis, and developing predictive analytics. * Strong SQL skills for querying and interpreting complex data sources. * Understanding of statistical modeling, hypothesis testing, and experimental design. * Experience with enterprise data management, data exploration, cleaning, and integration from various sources (SAP, Salesforce, Databricks, ERP/CRM). * Knowledge of anomaly detection, data lineage, and data governance principles. * Excellent communication skills, with the ability to translate technical findings into business insights. * Proactive and collaborative mindset with a strong problem-solving attitude. * Fluent in English; additional languages are a plus. * Demonstrated ability to perform the duties of this position through relevant experience, training, or education. ## Description * Analyze quality data from multiple enterprise systems to identify patterns, gaps, and opportunities for data-driven improvements. * Work with program managers and operations leaders to define relevant data assets and specify data access and usage. * Transform structured and unstructured datasets into actionable insights. * Conduct data quality checks and resolve data defects across enterprise platforms. * Develop and validate machine learning models supporting demand forecasting, scenario modeling, and predictive use cases. * Document analytical findings, model performance, and data definitions to ensure transparency and reproducibility. * Collaborate with data engineers to build and maintain Python-based data pipelines for ETL, model training, and automated workflows. * Translate business problems into data science and AI/ML solution frameworks, bridging engineering/operations with digital teams. * Design and execute scenario planning models; evaluate "what-if" outcomes for strategic decisions. * Track project execution data, link planning assumptions to actual performance, and support variance analysis. * Review and analyze existing dashboards, models, and data pipelines to understand design patterns and business requirements. * Interpret SQL queries and business logic embedded in current reports and analytical systems. * Provide actionable insights and resolve queries related to model outputs or data defects for various stakeholders. * Collaborate on continuous improvement initiatives, optimize existing reporting assets, and stay updated with AI/ML advancements. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Vectorize all the things! 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