Manager - Data Science
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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
About the job
Manager - Data Science
To see similar active jobs please follow this link: Remote Development jobs
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