Senior Data Scientist
Not Disclosed•Full-TimeOn-site
location_onUnorganized Borough, United States
About the Role
As a Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on Databricks (Azure). This role exists to bridge the gap between complex machine learning algorithms and tangible business outcomes, directly improving forecast accuracy, reducing inventory waste, and supporting revenue growth.
You will work closely with commercial, supply chain, and engineering teams to build ML solutions that drive decision-making. The day-to-day involves translating complex model outputs into clear business recommendations, ensuring that data science initiatives directly shape customer outcomes and gain strong visibility with senior leadership.
What Success Looks Like
Success in this position means meeting customer expectations within accelerated timelines while strengthening the organization's capabilities in this area. You will be expected to drive continuous model improvement by benchmarking new algorithms and evaluating AutoML approaches to optimize metrics like MAPE, bias, and coverage. Ultimately, you will lead high-impact initiatives that enable the business to make data-driven decisions regarding inventory, production planning, and revenue strategies.
Hiring Process
Candidates will be evaluated on their ability to demonstrate deep ML expertise and strong Python engineering skills. The process includes assessing your nuanced understanding of CPG market dynamics and your capability to translate technical concepts into business value. We look for individuals who can effectively troubleshoot issues, solve problems analytically, and thrive in Agile/Scrum environments.
Our Culture
We foster a high-performance data science culture where mentorship and collaboration are key. You will have the opportunity to guide junior data scientists, conduct code reviews, and define modeling standards. Strong interpersonal skills are essential for building productive relationships with team members and communicating effectively with internal and customer stakeholders.
Work location
Work model: On-site
Unorganized Borough, United States
Key Responsibilities
- check_circleLead end-to-end development of sales forecasting and demand sensing models on Databricks
- check_circleApply CPG domain knowledge to model promotional uplift and product cannibalization dynamics
- check_circleCommunicate model insights and forecast accuracy to senior stakeholders via dashboards and executive briefings
- check_circlePartner with data engineers to ensure reliable and scalable feature pipelines on Azure Data Lake
- check_circleConduct statistical analysis and A/B testing to measure business impact of model improvements
- check_circleDefine and enforce data science best practices including modeling standards and code review guidelines
- check_circleCollaborate with commercial and supply chain teams to translate forecasts into inventory recommendations
- check_circleDesign and maintain forecasting pipelines incorporating POS data, promotions, and external signals
- check_circleMentor junior data scientists through code reviews, knowledge sharing, and career development support
- check_circleDrive continuous model improvement by benchmarking algorithms and evaluating AutoML approaches
- check_circleOperationalize ML models using MLflow to manage registries, versioning, and drift monitoring
Requirements
- verified8+ years in data science or Applied ML roles
- verified3+ years of experience in Databricks in production
- verified5+ years of experience in Python
- verified5+ years of experience in Supervised, unsupervised Machine Learning algorithms
- verified5+ years of experience in deep learning algorithms
- verified3+ years of experience in building ML models in CPG, FMCG, or Retail analytics industry
- verified3+ years of experience in MLflow or equivalent experiment tracking tool
- verifiedMaster's or PhD in Statistics, CS, or related field (preferred)
Nice to Have
Master's or PhD in Statistics, CS, or related field. Advanced SQL on Delta Lake / Azure Synapse. Ability to build lightweight feature pipelines without full data engineering support. Experience with MLOps & CI/CD for ML (MLflow, GitHub Actions, or Azure DevOps pipelines). Data Visualisation & Storytelling skills using Power BI, Plotly, or Streamlit. Experience in Promotional & Trade Analytics. Team Leadership & Mentoring experience. Prior experience in Agile/Scrum projects with tools like Jira/Azure DevOps.
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Skills, education and keywords
Skills: Databricks, Azure, Python, Pandas, Pyspark, Scikit-Learn, Azure ML, Machine Learning, Supervised Machine Learning, Unsupervised Machine Learning.
Education: Master's or PhD in Statistics, CS, or related field (preferred); Master's or PhD in Statistics, CS, or related field (preferred).
Frequently asked questions about Senior Data Scientist at Vidorra Consulting Group
What does a Senior Data Scientist at Vidorra Consulting Group do?expand_more
In this Senior Data Scientist at Vidorra Consulting Group role, you will lead end-to-end development of sales forecasting and demand sensing models on databricks; apply cpg domain knowledge to model promotional uplift and product cannibalization dynamics; communicate model insights and forecast accuracy to senior stakeholders via dashboards and executive briefings; and partner with data engineers to ensure reliable and scalable feature pipelines on azure data lake.
What are the requirements for this Senior Data Scientist role?expand_more
To qualify for the Senior Data Scientist at Vidorra Consulting Group position, applicants should have: 8+ years in data science or Applied ML roles; 3+ years of experience in Databricks in production; 5+ years of experience in Python; 5+ years of experience in Supervised, unsupervised Machine Learning algorithms; 5+ years of experience in deep learning algorithms; and 3+ years of experience in building ML models in CPG, FMCG, or Retail analytics industry.
Where is the Senior Data Scientist role at Vidorra Consulting Group located?expand_more
Senior Data Scientist at Vidorra Consulting Group is based in Unorganized Borough, United States. This is a on-site role.
Is this Senior Data Scientist job remote, hybrid, or on-site?expand_more
Vidorra Consulting Group has listed this Senior Data Scientist role as on-site.
How much experience is required for this Senior Data Scientist role?expand_more
Senior Data Scientist at Vidorra Consulting Group typically requires 8+ years of relevant experience at the senior level.
What skills do you need for the Senior Data Scientist role at Vidorra Consulting Group?expand_more
Key skills for Senior Data Scientist at Vidorra Consulting Group include Databricks; Azure; Python; Pandas; Pyspark; Scikit-Learn; Azure ML; and Machine Learning.
What education is required for Senior Data Scientist at Vidorra Consulting Group?expand_more
Educational requirements for this role: Master's or PhD in Statistics, CS, or related field (preferred); and Master's or PhD in Statistics, CS, or related field (preferred).
What category does the Senior Data Scientist role belong to?expand_more
Senior Data Scientist at Vidorra Consulting Group is part of the it job category on Recrutus.
About Vidorra Consulting Group
Vidorra Consulting Group operates within the Information Technology & Services sector, headquartered in Houston, Texas. The firm specializes as a software consulting partner with a dedicated focus on niche domains including Robotics Process Automation, Analytics, Data Integration, and Oracle Utilities Analytics. The organization is comprised of a team of seasoned Business Intelligence professionals who bring extensive backgrounds from major industry players such as Oracle, IBM, and Deloitte.
The company serves a diverse clientele ranging from Fortune 500 entities to Fortune 100 customers, having delivered numerous successful implementations across these segments. Vidorra Consulting Group manages the full spectrum of Oracle Business Intelligence technologies, covering OBIEE, OBIA, Informatica, ODI, Hyperion Essbase, and Oracle Database. Services extend from the initial technology selection phase through to final implementation, providing end-to-end consulting, development, support, and managed services. This comprehensive approach ensures clients receive tailored solutions that address complex data and automation challenges within the Oracle ecosystem.
Browse more roles: All Vidorra Consulting Group jobs, it jobs on Recrutus.