Data Scientist
Not Disclosed•Full-TimeRemote
location_onSanta Clara University, 500, El Camino Real, Santa Clara, Santa Clara County, California, 95053, 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 client portfolios on Databricks (Azure). This role exists to bridge the gap between complex machine learning algorithms and tangible business outcomes, building ML solutions that improve forecast accuracy, reduce inventory waste, and support revenue growth.
You will work closely with commercial, supply chain, and engineering teams to translate nuanced market dynamics into clear business recommendations. The day-to-day involves designing forecasting pipelines that incorporate POS data, promotional calendars, and external signals like macroeconomic trends. You will operationalize models using MLflow, manage model registries, and drive continuous improvement by benchmarking new algorithms against key metrics like MAPE and bias.
Success in this position means meeting customer expectations within accelerated timelines while strengthening the organization's capabilities. You will have the opportunity to lead high-impact initiatives that directly shape customer outcomes and gain strong visibility with senior leadership. The role requires a unique blend of deep ML expertise, strong Python engineering skills, and the ability to communicate complex model behavior to non-technical stakeholders through dashboards and executive briefings.
Work location
Work model: Remote
Santa Clara University, 500, El Camino Real, Santa Clara, Santa Clara County, California, 95053, United States
Santa Clara, California
Key Responsibilities
- check_circleLead end-to-end development of sales forecasting and demand sensing models on Databricks
- check_circleDesign and maintain forecasting pipelines incorporating POS data and external signals
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Skills, education and keywords
Skills: Databricks, Azure, Python, Pandas, Pyspark, Scikit-Learn, Azure ML, Machine Learning, Deep Learning, Mlflow.
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 Data Scientist at Tanisha Systems, Inc
What does a Data Scientist at Tanisha Systems, Inc do?expand_more
In this Data Scientist at Tanisha Systems, Inc role, you will lead end-to-end development of sales forecasting and demand sensing models on databricks; design and maintain forecasting pipelines incorporating pos data and external signals; mentor junior data scientists and lead knowledge-sharing sessions; and communicate model insights and forecast accuracy to senior stakeholders via dashboards.
What are the requirements for this Data Scientist role?expand_more
To qualify for the Data Scientist at Tanisha Systems, Inc 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 Client, FMCG, or Retail analytics industry.
Where is the Data Scientist role at Tanisha Systems, Inc located?expand_more
Data Scientist at Tanisha Systems, Inc is based in Santa Clara University, 500, El Camino Real, Santa Clara, Santa Clara County, California, 95053, United States. This is a remote role.