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Associate
LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities, and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.
Designation: Associate.
Experience: 5 to 8 years
Location: San Jose, California, United States.
Deliverables:
Build, optimize, and operate production machine-learning models that power B2B GTM prioritization. You'll work across the full lifecycle — feature engineering on multi-billion-row data, model training and tuning, deployment, monitoring, and iterating on existing models in production.
This is a hands-on role on a small team. You'll own model quality end-to-end, partner with data engineers and analysts, and present findings to business stakeholders.
Required qualifications:
- Strong fundamentals in supervised learning, especiallytree-based models(XGBoost, LightGBM, Random Forest)
- Experience training, tuning, and evaluating classification models on imbalanced datasets
- Comfort with model explainability techniques (SHAP, feature importance, partial dependence)
- Hyperparameter optimization (Optuna, Hyperopt, or grid/random search)
- Understanding of model persistence, versioning, and deployment patterns
- Python— pandas, NumPy, scikit-learn, modern packaging practices
- SQL— advanced (window functions, CTEs, complex joins, performance tuning on large datasets)
- Comfort reading and refactoring legacy code
- Data platforms
- Experience with Databricks or a comparable cloud-data platform (Snowflake, BigQuery, EMR)
- Working knowledge ofApache Spark(PySpark or Spark SQL)
- Familiarity with Delta Lake, Parquet, or similar table formats
- Notebook-driven development workflows
- Version control (Git), code review, testing
- Writing maintainable code that other engineers will read and extend
- Documentation habits — clear comments, design notes, handoff docs
Preferred qualifications
- Experience working with B2B / sales data— CRM, marketing automation, opportunity pipelines, account-level analytics
- Exposure toAdobe Experience Platform, Salesforce, Marketo, or similar enterprise data sources
- Background inpropensity modeling, lead scoring, or engagement scoring
- Experience with MLOps tooling (MLflow, model registries, scheduled retraining pipelines)
- Familiarity withUnity Catalogor other governed data platforms
- Comfort with experimentation frameworks and A/B testing
LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities, and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.
Job Snapshot
Updated Date
07-05-2026
Job ID
J_5160
Location
San Jose, California, United States
Experience
5 - 8 Years
Employee Type
Permanent
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