Sales Demand Planning Data Scientist
Sales Demand Planning Data Scientist

Sales Demand Planning Data Scientist

Plymouth Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse sales and market data to create accurate demand forecasts.
  • Company: Join Sargento Foods, a family-owned leader in cheese with over 70 years of experience.
  • Benefits: Enjoy flexible work options, comprehensive medical benefits, and tuition assistance.
  • Why this job: Be part of a supportive culture that values your growth and community impact.
  • Qualifications: Bachelor's degree required; three years of relevant experience preferred.
  • Other info: Hybrid work schedule with onsite days and opportunities for professional development.

The predicted salary is between 36000 - 60000 £ per year.

In this role, the Data Scientist will be responsible for analyzing large sets of sales, market, and supply chain data to drive accurate demand forecasts. Supports the activities within Consumer Products for Sales, Marketing, and management relative to annual planning, long-term planning, monthly tracking, and analysis of the demand plan. This position will interact with CP Sales, Trade, Finance, Operations, Logistics, and Marketing to facilitate the planning process (mid to long term). Your Story. In this role, the Data Scientist will analyze large datasets related to sales, market, and supply chain to develop demand forecasts. The role supports Consumer Products activities across Sales, Marketing, and management for planning purposes, including annual, long-term, and monthly analyses. Collaboration with CP Sales, Trade, Finance, Operations, Logistics, and Marketing is essential for effective planning. Your Passion. Our Culture. At Sargento, you work for a company you believe in, with a family of people who believe in you. Our culture stems from a simple premise: Hire good people and treat them like family. You can make decisions considering their impact on people and the company\’s long-term health. We encourage making a meaningful difference in the community, in the company, and in your career. With diverse experiences and tools for learning and development, you can turn your aspirations into reality. If you\’re ready for a place to belong and grow your career, you can find it here. Benefits that set us apart. Comprehensive medical including Fertility, Adoption benefits, Dental, and Vision Insurance Flexible Work Week Hybrid schedule – Onsite Tuesday – Thursday with remote options on Monday and Friday Compressed work week – Option of a day off on Friday Onsite Health & Wellness Center Employer 401K contribution in the top 1% nationally Relocation Assistance Tuition Assistance Access to Employee Store What You Do. Analyze historical sales, promotions, and market trends to forecast product demand using statistical models and machine learning algorithms. Integrate external data sources, such as competitor pricing, economic indicators, and consumer sentiment, to improve forecast accuracy. Develop and automate predictive models to optimize long-term forecasting, collaborating with the Sr. Marketplace Insights Manager and Post Promotion & Pricing Analyst. Collaborate with Demand Planners and Marketing to refine forecasts at channel and segment levels for long-term budgets and volume estimates. Translate predictive models into system-enabled forecasting capabilities at relevant planning levels. Build and maintain dashboards for performance tracking and forecast accuracy. Facilitate monthly cross-functional demand review meetings, communicating complex forecasting concepts clearly. Work with IT and data engineering teams to maintain and improve data pipelines for real-time data collection and analysis. Understand how Pricing Net Of Commodities (PNOC) impacts pricing and promotions, and incorporate this into predictive models. Your Education and Experience. Bachelor\’s degree in accounting or a related field from a four-year college or university. Minimum of three years of relevant experience or training. Experience in CPG sales, marketing, or finance is not required but beneficial. Our Story. With over 2,400 employees and $1.8 billion in sales, Sargento Foods is a family-owned leader in cheese for over 70 years. Based in Plymouth, Wisconsin, we produce and market shredded, sliced, and snack natural cheeses, along with ingredients and sauces. We are known for product quality and innovative packaging and merchandising. To learn more about our culture and values, visit our careers page . #J-18808-Ljbffr

Sales Demand Planning Data Scientist employer: Sargento Foods Inc.

At Sargento, we pride ourselves on fostering a supportive and family-oriented work culture where employees are encouraged to grow both personally and professionally. With comprehensive benefits including flexible work options, tuition assistance, and a commitment to community engagement, our Plymouth, Wisconsin location offers a unique environment for Data Scientists to thrive while making a meaningful impact in the Consumer Products sector.
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Contact Detail:

Sargento Foods Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Sales Demand Planning Data Scientist

✨Tip Number 1

Familiarise yourself with statistical models and machine learning algorithms relevant to demand forecasting. Being able to discuss specific techniques you've used or studied will show your expertise and enthusiasm for the role.

✨Tip Number 2

Network with professionals in the Consumer Products industry, especially those involved in sales and demand planning. Engaging in conversations about current trends and challenges can provide valuable insights and may even lead to referrals.

✨Tip Number 3

Prepare to demonstrate your ability to collaborate across departments. Think of examples where you've successfully worked with teams like Sales, Marketing, or Finance, as this role requires strong cross-functional communication skills.

✨Tip Number 4

Stay updated on market trends and competitor activities that could impact demand forecasting. Showing that you have a proactive approach to understanding the market landscape will set you apart from other candidates.

We think you need these skills to ace Sales Demand Planning Data Scientist

Statistical Analysis
Machine Learning Algorithms
Data Integration
Predictive Modelling
Data Visualisation
Dashboard Development
Cross-Functional Collaboration
Communication Skills
Data Pipeline Management
Sales Forecasting
Market Trend Analysis
Consumer Insights
Attention to Detail
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, sales forecasting, and collaboration with cross-functional teams. Use specific examples that demonstrate your skills in statistical modelling and machine learning.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it aligns with the company's culture of treating employees like family. Mention your understanding of the Consumer Products industry and how you can contribute to their demand planning processes.

Showcase Technical Skills: Clearly outline your technical skills related to data analysis, such as proficiency in statistical software, programming languages (like Python or R), and experience with data visualisation tools. This is crucial for a role that involves developing predictive models.

Highlight Collaborative Experience: Emphasise any past experiences where you worked closely with sales, marketing, or finance teams. This will demonstrate your ability to facilitate planning processes and communicate complex concepts effectively, which is essential for this role.

How to prepare for a job interview at Sargento Foods Inc.

✨Showcase Your Analytical Skills

As a Sales Demand Planning Data Scientist, you'll be analysing large datasets. Be prepared to discuss your experience with statistical models and machine learning algorithms. Bring examples of how you've used these skills in past roles to drive demand forecasts.

✨Understand the Business Context

Familiarise yourself with the Consumer Products industry and the specific challenges it faces. Demonstrating knowledge about market trends, competitor pricing, and consumer sentiment will show that you can integrate external data sources effectively.

✨Emphasise Collaboration

This role requires working closely with various teams like Sales, Marketing, and Finance. Prepare to share examples of how you've successfully collaborated in cross-functional teams to achieve common goals, especially in planning processes.

✨Prepare for Technical Questions

Expect questions related to data pipelines and real-time data analysis. Brush up on your technical knowledge and be ready to explain how you've maintained or improved data collection processes in previous positions.

Sales Demand Planning Data Scientist
Sargento Foods Inc.
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