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Job Summary:
Agero is a leading provider of digital driver assistance services, focused on enhancing the vehicle ownership experience through data-driven technology. They are looking for a Data Scientist specialized in forecasting to develop sophisticated models that inform strategic business decisions and drive growth. The successful candidate will analyze complex datasets, collaborate with cross-functional teams, and present data-driven insights to stakeholders.
Responsibilities:
• Design, develop, and implement advanced forecasting models that could drive strategic decisions in various aspects of the business.
• Analyze complex datasets, identify patterns, trends, anomalies, and derive actionable insights.
• Collaborate with cross-functional teams including Data Engineers, Business Analysts, Product Managers, and other stakeholders to identify opportunities for leveraging company data to drive business solutions.
• Present findings and data-driven recommendations to non-technical stakeholders and executive leadership.
• Ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow.
• Develop and implement data collection methodologies and data quality assurance processes.
• Collect, clean, and preprocess large volumes of structured and unstructured data from various sources.
• Create data visualizations, reports, and dashboards to effectively communicate findings and recommendations to stakeholders.
Qualifications:
Required:
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a technical field.
• Minimum 2 years of work experience in a role heavily focused on data forecasting or predictive modeling.
• Strong proficiency in Python and SQL, with 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.
Preferred:
• Knowledge of advanced forecasting techniques and experience incorporating external factors (e.g., holidays and weather) into forecasts.
• Experience with cloud platforms (e.g., AWS, Azure) and their forecasting services.
• Experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) for handling large-scale datasets.
• Familiarity with data engineering processes relevant to building and deploying forecasting pipelines (e.g. Apache Airflow, DBT, Snowflake Tasks).
• Previous work experience within a relevant industry.
Company:
Agero is working with leading vehicle manufacturers and insurance carriers to drive the next generation of roadside assistance technology forward. Founded in 1972, headquartered in Medford, Massachusetts, USA, team size 1001-5000 employees, currently Late Stage. Agero, Inc. has a track record of offering H1B sponsorships.
