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Plano, Texas, USA

Posted On: Just posted

Experience: 5+ years

Availability: Onsite

Openings: 1

Category: Senior Data Scientist

Tenure: Contract - Corp-to-Corp

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Design, build, and validate robust predictive models and machine learning solutions to address specific business problems.
Process, cleanse, and transform large, complex datasets from various sources to create high-quality features for modeling.
Create comprehensive documentation for all models, code, and data pipelines to ensure transparency and facilitate a smooth handover at the end of the contract.
Develop and present findings, model performance metrics, and project outcomes to technical leads and project managers, often through dashboards in tools like Power BI.

Minimum Education

Bachelor’s or advanced degree (Master’s/Ph.D.) in computer science, data science, artificial intelligence, or a related field.

Minimum Work Experience (years)

5+ years - strong background in statistics, machine learning, deep learning and programming

Key Skills and Competencies

Technical Skills:

Strong foundation in machine learning, deep learning, and AI frameworks
Familiarity with tools and platforms such as TensorFlow, PyTorch, Databricks, Google BigQuery, and cloud-based AI services (AWS, Google Cloud, Azure).
Expert-level proficiency in Python and its core data science libraries (e.g., pandas, NumPy, scikit-learn). Strong SQL for complex data extraction is mandatory.
Understanding of MLOps practices and tools (e.g., MLflow, Kubeflow) to ensure operational efficiency in AI pipelines.
Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.
Familiarity with data visualization tools like Power BI or similar.
Understanding of Forecasting, timeseries, and price optimization