Pricing Data Scientist

Job Title : Pricing Data Scientist

Location : REMOTE

Duration : 6+ Months

MUST HAVE:

• Economic modelling Price elasticity, multi-elasticity modelling, cross elasticity effects of promotions.
• Test Measurement Test/Control (AB testing), Champion/Challenger.
• Data Wrangling proficiency in dealing with data imperfections, data gaps, normalization techniques.
• Experience with statistical data analysis, such as time series, linear models, multivariate analysis, and sampling methods.
• Machine Learning good knowledge to machine learning methods like ARMIA, Naive Bayes, SVM, Decision Forests, Gradient Boosting, Neural Networks.
• Hands-on experience with data science tools.

We are seeking a talented and analytical Data Scientist to join our team. As a Data Scientist at Southern Glazer's Wine & Spirits, you will be responsible for extracting valuable insights from large datasets, building predictive models, and driving data-driven decision-making across the organization.

Job Duties -

Develop pricing strategies to maximize revenue and profitability.
Analyze large datasets to identify trends, patterns, and opportunities for revenue growth.
Collaborate with cross-functional teams to develop and refine pricing models.
Utilize statistical and machine learning techniques to optimize pricing.
Conduct A/B testing and other experiments to evaluate the effectiveness of pricing strategies.
Present findings and recommendations to senior management and stakeholders.

Job Requirements -

5+ years of experience in data science, with a focus on pricing and revenue management preferred.
Bachelor's degree in data science, economics, computer science, statistics, or a related field.
Proficiency in R or Python
Knowledge of SQL. Experience with Redshift, preferably.
Strong analytical and problem-solving skills.
Excellent communication and presentation skills.
Ability to work independently and as part of a team.

Desired Skills & Experience -

Master's or PhD in data science, economics, computer science, statistics, or a related field.
Experience building web applications in Shiny, Dash, Streamlit, or Bokeh
Experience utilizing common CPG data sources (Nielsen, IRI, etc)
Experience in the Beverage Alcohol Industry (Supplier, Distributor, or Retailer)

Key Responsibilities:
Develop pricing strategies to maximize revenue and profitability.
Analyze large datasets to identify trends, patterns, and opportunities for revenue growth.
Collaborate with cross-functional teams to develop and refine pricing models.
Utilize statistical and machine learning techniques to optimize pricing.
Conduct A/B testing and other experiments to evaluate the effectiveness of pricing strategies.
Present findings and recommendations to senior management and stakeholders.