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Data Scientist (Forecasting) - Job Opportunity at Agero

Remote, US
Full-time
Mid-level
Posted: May 24, 2025
Remote
USD 98,000 - 155,000 per year

Benefits

Comprehensive healthcare coverage including medical, dental, and vision insurance providing extensive family protection
Competitive 401(k) retirement plan with company matching to accelerate wealth building
Full disability and life insurance coverage ensuring financial security during unforeseen circumstances
Flexible paid time off policy enabling optimal work-life balance and personal well-being
Generous paid sick leave supporting health recovery without financial impact
Ten paid holidays annually providing extended rest periods throughout the year
Progressive tuition reimbursement program supporting continuous professional development and career advancement
Mental health benefits promoting psychological well-being and stress management
Parental planning benefits facilitating major life transitions and family growth
Performance-based bonus and incentive programs rewarding exceptional contributions

Key Responsibilities

Architect and deploy sophisticated forecasting models that directly influence C-level strategic decision-making across multiple business verticals
Conduct advanced pattern recognition and anomaly detection on enterprise-scale datasets to uncover critical business intelligence
Lead cross-functional collaboration initiatives with engineering, product, and executive teams to transform data insights into revenue-generating solutions
Deliver executive-level presentations and data-driven recommendations that shape organizational strategy and resource allocation
Establish enterprise data governance frameworks and quality assurance protocols that ensure analytical integrity across the organization
Pioneer innovative data collection methodologies and automated quality assurance systems that enhance operational efficiency
Process and analyze massive volumes of structured and unstructured data from diverse enterprise sources to extract actionable intelligence
Design and implement executive dashboards and visualization systems that communicate complex analytical findings to key stakeholders

Requirements

Education

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a technical field

Experience

Minimum 2 years of work experience in a role heavily focused on data forecasting or predictive modeling

Required Skills

Strong proficiency in Python and SQL Expertise in relevant forecasting libraries (e.g., DARTS, Prophet, SKTime, etc.) Knowledge of data visualization tools such as Tableau, Power BI, or Sigma Hands-on experience applying various forecasting techniques, such as time series analysis (e.g. Exponential Smoothing, ARIMA, SARIMA), regression-based forecasting, and advanced machine learning algorithms for forecasting Solid understanding of statistical concepts and the ability to critically evaluate forecasting model performance Excellent problem-solving skills with the ability to translate business forecasting needs into robust analytical solutions Strong communication skills to effectively present complex results and insights to non-technical stakeholders Attention to detail and the ability to work independently and collaboratively within a team Proven ability to both understand business objectives and quantify the impact that projects have towards meeting these objectives
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Sauge AI Market Intelligence

Industry Trends

The automotive services industry is experiencing unprecedented digital transformation, with connected vehicle technologies and IoT integration driving demand for sophisticated predictive analytics capabilities that can anticipate service needs before they occur. Emergency roadside assistance and vehicle management sectors are rapidly adopting machine learning-driven dispatch optimization, requiring data scientists who can develop real-time forecasting models that optimize resource allocation across vast geographic networks. B2B white-label service providers are increasingly leveraging big data analytics to differentiate their offerings, creating substantial demand for professionals who can translate complex datasets into competitive advantages and improved customer experiences.

Salary Evaluation

The offered salary range of $98,000-$155,000 is competitive for a mid-level data scientist position in the automotive services sector, positioning slightly above national averages due to the specialized forecasting focus and the company's substantial data volume of 12 million annual service events.

Role Significance

Likely part of a 5-8 person data science team within a larger analytics organization, with collaboration across engineering, product, and business intelligence functions supporting the company's 150 million vehicle coverage points.
This mid-level position carries significant strategic influence, with direct impact on executive decision-making and cross-functional leadership responsibilities that typically indicate a pathway toward senior data science or analytics management roles.

Key Projects

Development of predictive maintenance forecasting models that anticipate vehicle service needs across multiple manufacturer partnerships Creation of demand forecasting systems for optimizing the national network of service providers and dispatch management Implementation of real-time analytics for improving customer experience during the 12 million annual service events Design of business intelligence frameworks that support strategic partnerships with automobile manufacturers and insurance carriers

Success Factors

Ability to translate complex forecasting requirements from diverse stakeholders into robust analytical solutions that drive measurable business outcomes Strong competency in communicating technical findings to non-technical executives and partners, particularly in high-stakes situations involving service delivery and customer satisfaction Expertise in handling large-scale, real-time data processing challenges inherent in managing millions of service events across geographic networks Capacity to work independently while maintaining collaborative relationships across engineering, product, and business functions in a remote work environment

Market Demand

High demand driven by the intersection of automotive industry digitization, supply chain optimization needs, and the growing complexity of managing large-scale service networks in real-time operational environments.

Important Skills

Critical Skills

Python and SQL proficiency are fundamental for handling the massive data volumes and complex analytical requirements inherent in managing 12 million annual service events across diverse data sources and real-time operational systems. Advanced forecasting techniques including time series analysis and machine learning algorithms are essential for developing the sophisticated predictive models that drive strategic business decisions and optimize service delivery across the national provider network. Statistical modeling expertise and performance evaluation capabilities are crucial for ensuring the accuracy and reliability of forecasting systems that directly impact customer satisfaction and operational efficiency in high-stakes service situations. Communication skills for presenting to non-technical stakeholders are vital given the need to influence executive strategy and maintain relationships with major automotive manufacturers and insurance carrier partners.

Beneficial Skills

Cloud platform experience with AWS or Azure would enhance ability to scale analytics solutions and leverage advanced forecasting services for handling enterprise-level data processing requirements. Big data technologies and distributed computing knowledge would provide competitive advantages when working with the massive datasets generated by 150 million vehicle coverage points and complex service network operations. Data engineering pipeline experience would facilitate more effective collaboration with technical teams and enable end-to-end ownership of forecasting solutions from development through deployment. Industry experience in automotive, insurance, or logistics sectors would accelerate understanding of business context and enable more strategic contributions to partnership relationships and service optimization initiatives.

Unique Aspects

Opportunity to work with one of the largest datasets in the automotive services industry, providing exposure to real-time operational challenges at unprecedented scale
Direct involvement in shaping strategic decisions that impact millions of drivers and thousands of service providers across North America
Access to cutting-edge dispatch management technology through the Swoop platform, offering experience with industry-leading operational systems
Exposure to diverse automotive industry partnerships including manufacturers, insurance carriers, and service providers, providing comprehensive industry knowledge

Career Growth

Typical progression to senior-level roles within 2-3 years, with management opportunities emerging after 3-5 years given the strategic nature of the role and cross-functional leadership components.

Potential Next Roles

Senior Data Scientist specializing in automotive or transportation analytics Data Science Manager leading forecasting and predictive analytics teams Principal Data Scientist focusing on strategic business intelligence and executive analytics Director of Analytics or Chief Data Officer roles within automotive services or related industries

Company Overview

Agero

Agero operates as the dominant B2B white-label provider in the digital driver assistance space, serving as a critical infrastructure partner for major automobile manufacturers and insurance carriers with over 150 million vehicle coverage points and 12 million annual service events.

Market leader in the roadside assistance and vehicle services sector, with substantial competitive advantages derived from scale, established partnerships, and comprehensive service network management capabilities.
This remote position offers access to North American operations while working with a company that maintains significant market presence and partnerships across the automotive ecosystem, providing exposure to large-scale business challenges.
The company emphasizes data-driven decision making and digital transformation, with a culture that values individual contributions to strategic outcomes and promotes professional growth through complex analytical challenges.
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