Manager - Data Science

About You

We are seeking a highly motivated problem solving and experienced data analyst to join our dynamic team. The ideal candidate will have a passion for solving problems and assisting business stakeholders with forecasting. As an advanced data analyst you will play a crucial role in supporting marketing teams to better understand how changes in the business today will impact tomorrow. Your insights will drive better forecasting here at Nutrafol.

Responsibilities

• Develop our monthly/quarterly/yearly sales forecast with the the marketing teams

• Assist marketing and finance teams in scenario planning to build robust forecasts

• Develop and implement robust forecasting models using statistical techniques and machine learning algorithms

• Analyze large complex datasets to extract meaningful patterns and insights that drive forecasting accuracy

• Collaborate with Data Engineers to preprocess data and ensure data quality for modeling purposes

• Work closely with stakeholders to understand business requirements and translate them into technical solutions.

• Evaluate model performance and refine methodologies to improve accuracy and efficiency

• Present findings and recommendations to technical and non-technical audiences including senior management.

Requirements

• A degree in Statistics Mathematics Computer Science or a related quantitative field or relevant business experience

• Proven experience with at least 4-6 years working as a data analyst or similar role with a focus on forecasting and predictive modeling within an eCommerce company.

• Experience with time series analysis and regression modeling

• Solid understanding of database systems and SQL proficiency for data manipulation and extraction.

• Excellent communication skills with the ability to explain complex concepts and findings to both technical and non-technical stakeholders.

• Ability to work effectively in a collaborative team environment and manage multiple priorities.

Preferred Qualifications

• Masters level degree in Business or quantitative field

• E-commerce experience

• Strong proficiency in statistical analysis tools and programming languages such as Python or R

• Experience with machine learning techniques