Remote Senior Forecasting Data Scientist en THE HELPER BEES INC

Description

Join our winning team, recently honored as on Forbes’ list of America’s Best Startup Employers for 2025!

The Helper Bees (THB) was created to fill an obvious need in an underserved community. Inspired by love and brought to reality through passion and determination, The Helper Bees was founded to empower older adult citizens and their families in their search for quality, affordable in-home care providers. We do this by providing older adults the ability to easily review, choose, and access affordable quality in-home helpers.

The Helper Bees mission is to help people stay home longer through data-driven services that transform both the payer and the care-recipient experience.

At THB, we define our company culture through our Core Values:

• Quickly iterate through solutions - We move at a fast pace which requires quick iterations to find a path to a repeatable solution
• Seek ways to create immediate impact - Be thoughtful and proactive in how you make an impact on your team. Actively look for ways to make a fast, positive impact.
• Bee the teammate you want to work with - We work as a team, help each other and encourage each other
• Ask questions, answer questions - You can't iterate through solutions if you don't ask the right questions which is why there is an expectation that questions should be asked. When you know the answer, being a good teammate means chiming in to get others up to speed.
• Take the time to celebrate wins - It's so easy for a team that is heads down to forget about all the great things they've accomplished. That's why we make it a priority to remind ourselves to create space to celebrate wins, big or small.

Job Summary:

We are seeking an experienced Senior Forecasting Data Scientist to develop and maintain sophisticated forecasting models that drive critical business decisions. You will be responsible for predicting key business metrics including phone call volumes, unit sales, new customer acquisition, and other operational KPIs using our comprehensive historical dataset. This role requires a blend of advanced statistical expertise, machine learning proficiency, and strong business acumen.

Supervisory Responsibilities:

• None

Duties/Responsibilities:

Model Development & Analytics

• Design, build, and deploy forecasting models for multiple business metrics (call volumes, sales units, revenue, customer acquisition)
• Implement time series analysis using statistical methods (ARIMA, exponential smoothing, seasonal decomposition) and machine learning approaches
• Develop ensemble models that combine multiple forecasting techniques for optimal accuracy
• Perform feature engineering incorporating external factors such as marketing spend, seasonality, economic indicators, and promotional activities
• Continuously monitor model performance and implement improvements to maintain forecast accuracy

Data Management & Analysis

• Extract, clean, and prepare large datasets from multiple sources for forecasting analysis
• Conduct exploratory data analysis to identify trends, patterns, and anomalies in historical data
• Validate data quality and implement processes to ensure forecasting model reliability
• Create automated data pipelines for model training and prediction generation

Business Partnership & Communication

• Collaborate with cross-functional teams (Sales, Marketing, Operations, Finance) to understand business drivers and forecasting requirements
• Present forecast results and insights to executive leadership and stakeholders
• Translate complex statistical concepts into actionable business recommendations
• Provide guidance on forecast uncertainty and confidence intervals to inform decision-making

Innovation & Best Practices

• Stay current with industry best practices and emerging forecasting methodologies
• Evaluate and implement new tools, techniques, and technologies to enhance forecasting capabilities
• Document model methodologies, assumptions, and performance metrics
• Mentor junior team members and share knowledge across the organization

Performance Metrics:

• Forecast Accuracy: Demonstrated, iterative improvements in predictive accuracy over time. Success is measured by provable results from validation tests using historical data, with clear documentation of error rates and progress toward more reliable forecasts.
• Timeliness & Reliability: Percentage of forecasts delivered on or before deadlines, scheduled and communicated on a predictable cadence. Forecasts should be generated through automated and reproducible processes without the need for manual manipulation.

Innovation & Collaboration: Regular evaluation of multiple forecasting approaches with clear comparisons of strengths and weaknesses. Success includes providing well-reasoned recommendations on the best approach for each business need, as well as communicating trade-offs and insights effectively across teams.

Requirements

Required Skills/Abilities:

Education & Experience

• Bachelor's degree in Statistics, Data Science, Economics, Operations Research, or related quantitative field
• 4+ years of hands-on experience in business forecasting, demand planning, or predictive analytics
• Proven track record of building and deploying forecasting models in production environments

Technical Skills

• Programming: Advanced proficiency in Python (pandas, scikit-learn, statsmodels, matplotlib) or R (forecast, tidyverse, ggplot2)
• Statistical Methods: Deep understanding of time series analysis, regression modeling, and statistical forecasting techniques
• Machine Learning: Experience with ensemble methods, neural networks, and advanced ML algorithms for forecasting
• Databases: Strong SQL skills for data extraction and manipulation
• Visualization: Proficiency in Tableau, Power BI, or equivalent visualization tools
• Version Control: Experience with Git and collaborative development practices

Business Skills

• Experience forecasting business metrics such as sales, demand, call volumes, or customer acquisition
• Understanding of business seasonality, promotional impacts, and external market factors
• Strong analytical problem-solving skills with attention to detail
• Excellent written and verbal communication skills
• Ability to work independently and manage multiple forecasting projects simultaneously

Preferred Qualifications

• Master’s degree in a quantitative field
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices
• Background in retail, e-commerce, telecommunications, or similar industries
• Experience with advanced forecasting techniques (Prophet, neural forecasting, hierarchical forecasting)
• Knowledge of optimization and supply chain planning
• Previous experience in a senior or lead data science role

Physical Requirements:

• Ability to remain at your designated workstation for the duration of the workday
• Constantly operates a computer and other office productivity machinery, such as a phone and Voice over Internet Protocol (VoIP).
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range (typically on a computer screen)
• This position offers the flexibility of remote work at approved locations within the United States. Candidates must have a reliable internet connection and a designated work environment conducive to professional phone calls and sensitive data. Enjoy the convenience and comfort of working remotely while contributing to our team's success.

The Helper Bees is committed to building a workplace where diversity, equity, and inclusion are valued and prioritized. We are an equal opportunity employer that welcomes all qualified applicants without discrimination based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any non-merit based or legally protected grounds.

The Helper Bees provides reasonable accommodations to qualified individuals with disabilities during the job application and interview process. To request accommodation, please let your recruiter know.

As part of our standard hiring process, selected candidates may be required to undergo a background check and/or drug screen.  The Helper Bees adheres to applicable federal, state, and local laws regarding these screenings, and the results will be considered in accordance with applicable regulations.    

The Helper Bees was recently made aware of a fraudulent entity posing as our organization and requesting personal information. Please be aware of and protect yourself from scams. Visit the careers page of our website to view all current job openings.