Senior Data Scientist, Pricing – Deep Learning, Demand Forecasting

This is a fully remote position, open to applicants in United States.

📋 Description

• Spearhead data science initiatives that enhance profitability, efficiency, and customer experience.

• Create advanced analytics frameworks to support informed decision-making.

• Predict the results of pricing and promotional strategies using AI, deep learning, and forecasting methods.

• Oversee data science projects while collaborating with project and product managers.

• Manage task prioritization, balance workloads, and mentor fellow data scientists.

• Communicate insights and recommendations to leadership and business partners.

• Articulate the advantages and implications of proposed solutions.

• Contribute to staffing assessments and take part in recruitment and hiring processes.

• Design and build algorithms and models leveraging large datasets.

• Choose, apply, and interpret advanced analytical techniques.

• Compile project reports, updates, and presentations.

• Establish project goals in collaboration with project teams and business partners.

• Guide task prioritization and ensure quality standards are met.

• Mentor and coach junior team members.

• Work together on workload management and resource allocation.

• Educate both technical and non-technical business partners on advanced analytics concepts.

• Pursue new business opportunities for data science initiatives.

• Investigate advancements in data science, technical competencies, and data sources.

• Create replicable solutions, documentation, process flowcharts, and reusable algorithms.

• Establish best practices and a vision for data analysis and model production.

• Document code that has been developed.

⛳️ Requirements

• Must be at least 18 years old.

• Must have legal authorization to work in the United States.

• Bachelor’s degree or an equivalent qualification in a related discipline, or an equivalent educational background.

• Expertise in time series forecasting and deep learning methodologies.

• Preferred: Over 6 years of experience in business intelligence and analytics.

• Familiarity with Microsoft Excel and PowerPoint.

• Proficient in a modern scripting language, preferably Python.

• Skilled in querying data, ideally using Google BigQuery or SQL.

• Proficient in data visualization tools, preferably Tableau.

• Mastery of statistical approaches for deriving business insights.

• Proven capability in predictive modeling, data mining, and data analysis.

• Minimum of 5 years of relevant work experience.

🏝️ Benefits

• Health care benefits.

• 401K plan.

• Employee Stock Purchase Plan (ESPP).

• Paid time off.

• Success sharing bonus.