Data Scientist (Forecasting)

Job Summary: 

Agero is seeking a talented and driven Data Scientist with a strong focus on data forecasting to join our team. In this exciting role, you will be instrumental in leveraging our extensive datasets to develop sophisticated forecasting models that directly inform strategic business decisions and drive growth. You will have the opportunity to shape your career as a key contributor to our data-centric culture, applying innovative forecasting techniques to provide critical insights into future trends and patterns. If you are passionate about predicting future outcomes using data and influencing business strategy through accurate forecasts, we encourage you to apply.

Key Outcomes: 

• 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: 

• 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 Qualifications: 

• 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.

• United States:  AZ, CA, FL, GA, NH, IL, KY, MA, MI, NC, NM, TN, VA 
• Canada: Province of Ontario