1

Live In Cpg Sales Jobs in Texas (NOW HIRING)

The ideal candidate is a motivated sales professional with experience in business development, account management, or Consumer Packaged Goods (CPG) sales who enjoys building relationships and ...

The ideal candidate is a motivated sales professional with experience in business development, account management, or Consumer Packaged Goods (CPG) sales who enjoys building relationships and ...

The ideal candidate is a motivated sales professional with experience in business development, account management, or Consumer Packaged Goods (CPG) sales who enjoys building relationships and ...

Sales Representative Since its founding in 2000, Walong Marketing, Inc. is a leading distributor of ... in consumer packaged goods (CPG), preferably within Asian food or traditional grocery channels.

Sales Representative Since its founding in 2000, Walong Marketing, Inc. is a leading distributor of ... in consumer packaged goods (CPG), preferably within Asian food or traditional grocery channels.

National Account Executive

Frisco, TX · On-site

$116K - $180K/yr

Bachelor's degree or equivalent experience * 5 years of CPG sales, or sales support experience in National Accounts * Minimum 2 years' experience using IRI, Nielsen Scantrack, or other syndicated ...

National Account Executive

Frisco, TX · On-site

$116K - $180K/yr

Bachelor's degree or equivalent experience 5 years of CPG sales, or sales support experience in National Accounts Minimum 2 years' experience using IRI, Nielsen Scantrack, or other syndicated data ...

National Account Executive

Dallas, TX · On-site

$116K - $180K/yr

Bachelor's degree or equivalent experience 5 years of CPG sales, or sales support experience in National Accounts Minimum 2 years' experience using IRI, Nielsen Scantrack, or other syndicated data ...

New

Showing results 21-40

Live In Cpg Sales information

What is the difference between Live In Cpg Sales vs Cpg Sales Representative?

AspectLive In Cpg SalesCpg Sales Representative
Work EnvironmentTypically involves living on-site or nearby, with a focus on local or regional salesUsually works remotely or in client locations, with less emphasis on living arrangements
CredentialsSales experience, industry knowledge, sometimes a valid driver’s licenseSales experience, industry knowledge, often a driver’s license
Employer & Industry UsageCommon in consumer packaged goods (CPG) companies for regional sales rolesUsed across CPG companies for field sales roles, often with a broader geographic scope

Live In Cpg Sales roles typically involve living close to the sales territory, focusing on local market engagement, while Cpg Sales Representatives usually operate in a broader area without the requirement to live on-site. Both roles require sales experience and industry knowledge, but the living arrangement distinguishes them.

What are the most commonly searched types of Cpg Sales jobs in Texas?

The most popular types of Cpg Sales jobs in Texas are:

What cities in Texas are hiring for Live In Cpg Sales jobs?

Cities in Texas with the most Live In Cpg Sales job openings:

Infographic showing various Live In Cpg Sales job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Remote job distribution.

Data Scientist with strong Azure

Kaygen, Inc.

Austin, TX • On-site

Full-time

Re-posted 29 days ago


Job description

Job Summary:
KAYGEN is an emerging leader in providing top talent for technology-based staffing services. They are seeking a Lead Data Scientist to spearhead the development of sales forecasting and demand sensing models, collaborating with various teams to improve forecast accuracy and support revenue growth.
Responsibilities:
• Lead end-to-end sales forecasting model development — from data sourcing and feature engineering through model training, validation, and productionisation on Databricks (Azure).
• Design and maintain forecasting pipelines — at SKU, category, and regional hierarchy levels — incorporating POS data, promotional calendars, seasonality indices, and external signals (macroeconomic, weather).
• Apply CPG domain knowledge — to model promotional uplift, new product introduction curves, product cannibalization, and retailer sell-in/sell-out dynamics into ML features and targets.
• Operationalise ML models using MLflow on Databricks — manage the model registry, version control experiments, automate retraining schedules, and configure drift monitoring alerts.
• Collaborate with commercial and supply chain teams — to translate forecast outputs into inventory recommendations, production planning inputs, and revenue growth strategies.
• Define and enforce data science best practices — modelling standards, experiment documentation, code review guidelines, and reproducibility requirements across the team.
• Mentor junior data scientists — conduct code reviews, lead knowledge-sharing sessions, support career development, and build a high-performance data science culture.
• Communicate model insights and forecast accuracy — to senior stakeholders through dashboards, executive briefings, and written reports — making complex model behaviour accessible to business audiences.
• Drive continuous model improvement — benchmark new algorithms, evaluate AutoML approaches, and run controlled experiments to improve MAPE, bias, and coverage metrics.
• Partner with data and platform engineers — to ensure feature pipelines on Azure Data Lake / Delta Lake are reliable, scalable, and aligned with model refresh cadence requirements.
Qualifications:
Required:
• 8+ years in data science or applied ML roles
• 3+ years in CPG, FMCG, or retail analytics
• 3+ years of experience in Databricks in production
• 5+ years of experience in Python — pandas, PySpark, scikit-learn
• 5+ years of experience with Azure ML or Azure ecosystem
• 3+ years of experience in MLflow or equivalent experiment tracking tool
• 5+ years of experience in Supervised, unsupervised machine learning algorithms, forecasting and inventory optimization
• 5+ years of experience in deep learning algorithms applying to solve forecasting, regression and classification problems
• 3+ years of experience in building ML models in CPG industry
• Communication Skills: Communicate effectively with internal and customer stakeholders
• Interpersonal Skills: Strong interpersonal skills to build and maintain productive relationships with team members
• Problem-Solving and Analytical Thinking: Capability to troubleshoot and resolve issues efficiently
• Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
Preferred:
• Master's or PhD in Statistics, CS, or related field
• Statistical Analysis & Experimentation
• SQL & Data Engineering Fundamentals
• MLOps & CI/CD for ML
• Data Visualisation & Storytelling
• Promotional & Trade Analytics
• Team Leadership & Mentoring
Company:
Kaygen, an award-winning technology consulting and talent firm, assists organizations to achieve digital transformation. Founded in 2003, the company is headquartered in Irvine, USA, with a team of 51-200 employees. The company is currently Growth Stage.