Sales Data Scientist

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A Data Scientist will play a crucial role in driving strategic decision-making by collaborating with business partners to translate predictive insights into actionable recommendations. They will be responsible for conducting advanced data analysis, applying data science techniques to solve complex problems, and developing and deploying predictive models that forecast future trends and outcomes. They will also evaluate and refine models, ensuring they remain accurate, reliable, and scalable in a dynamic business environment.

Key Responsibilities and Duties:

• Collaborate with Business Partners: Work closely with business teams to translate predictive insights into actionable recommendations that drive strategic initiatives.
• Advanced Data Analysis & Experimentation: Conduct complex data analysis and experimentation to derive insights that inform business decisions.
• Modeling & Predictive Analysis: Apply data science techniques to solve complex problems and develop predictive models to forecast trends, behaviors, or outcomes based on historical data.
• Model Evaluation and Refinement: Continuously evaluate model performance, refine algorithms, and improve the accuracy, reliability, and scalability of predictive models.
• Cross-Validation & Model Adaptability: Use cross-validation techniques to validate the accuracy and adaptability of models over time, ensuring they stay effective in changing business conditions.
• Model Updates: Regularly update predictive models to ensure they remain relevant and effective in dynamic business environments.

Required Skills and Qualifications:

• Experience: At least 3 years of experience in data analytics and predictive modeling.
• Technical Skills:
  • Proficient in tools for data analytics and modeling such as Keras, TensorFlow, Torch, PyTorch, sklearn, ml-lib, Prophet.
  • Demonstrable knowledge of forecasting or predictive modeling techniques.
  • Strong experience with Python for data analysis and model development.
  • Proficient in SQL databases, and capable of writing complex queries.
  • Experience with unit and regression testing to ensure model accuracy and reliability.
  • Experience with Power BI for data visualization and monitoring.
  • Experience with DAX Query to work with data models and reports.
  • Experience in setting up CI/CD pipelines for automating deployment and integration of data science models.

Preferred Skills and Qualifications:

• Software Development Life Cycle (SDLC): Knowledge of the SDLC and Quality Assurance (QA) processes.
• Docker: Experience with Docker for containerization of data science models and workflows.
• Model Ops: Familiarity with Model Ops, which involves the full model development life cycle, from creation to deployment.
• Communication Skills: Ability to explain technical solutions and data science results to non-technical stakeholders.

Education:

• Master of Science (MSc) in Data Science, Statistics, Computer Engineering, Computer Science, or an equivalent technical background.

Performance Metrics/Success Criteria:

• Successful deployment and refinement of predictive models with demonstrated improvements in forecast accuracy and business outcomes.
• Effective communication of complex data science insights to business stakeholders.
• Continuous improvement in the scalability, reliability, and adaptability of models in a dynamic business environment.

Working Conditions:

• Work in a collaborative environment with cross-functional teams.
• Hybrid working schedule with a combination of in-office and remote work.
• Exposure to fast-paced business needs and opportunities to drive impactful decisions.

Career Path and Growth Opportunities:

• Opportunities for growth into senior data science roles or managerial positions overseeing teams of data scientists or analysts.
• Potential to collaborate with other business departments, broadening expertise in data-driven strategy development.

Summary:

This Data Scientist role requires a blend of technical expertise in data analytics, predictive modeling, and machine learning, alongside a strong ability to collaborate with business teams to drive strategic decisions. The role also demands experience with deploying and refining predictive models, using CI/CD pipelines, and working with data visualization and database tools. Candidates should have a deep understanding of forecasting and model performance evaluation, with the ability to communicate technical solutions to non-technical stakeholders effectively.

Postal Code: 77019

Category (Portal Searching): Information Technology

Job Location: US-TX - Houston