Hi
Hope you are doing well
Please find the job description given below and let me know your interest.
Position: Senior Data Scientist (Onsite)
Location: Pleasanton CA (Relocation; Ok)
Duration: 6 Months
Job Description
We seek a hands-on Senior Data Scientist to build deploy and optimize ML models at scale. Focus on Python/SQL-driven data pipelines ML/DL modeling visualization and cloud-based production deployment. Strong emphasis on Azure ecosystem for enterprise data workflows.
Required Skills (Must-Have)
-
Programming: Strong hands-on Python for data prep modeling ML components; SQL (joins window functions CTEs query optimization).
-
Machine Learning: Linear/Logistic Regression Decision Trees Random Forest XGBoost/LightGBM SVM KNN; model evaluation (Precision/Recall F1 ROC-AUC MSE RMSE); tuning (Grid/Randomized search cross-validation).
-
Deep Learning: TensorFlow/Keras/PyTorch; CNNs RNNs/LSTMs Transformers; use cases in NLP computer vision time-series.
-
Data Wrangling: Missing data handling feature engineering cleaning outlier detection normalization/standardization.
-
Data Visualization: Python (Matplotlib Seaborn Plotly); Tableau/Power BI for dashboards reporting storytelling.
-
Databases: Relational (MySQL PostgreSQL SQL Server); NoSQL (MongoDB Cassandra).
Desirable Skills (Preferred for Production/Advanced Roles)
-
Big Data: Spark Hadoop.
-
Cloud (any one strongly preferred): Azure (Data Factory Databricks ML Studio Synapse Analytics) AWS (S3 EC2 SageMaker) GCP (BigQuery Vertex AI).
-
PySpark on Databricks.
-
Deployment: Flask/FastAPI Docker/Kubernetes (optional) CI/CD basics.
-
Data Pipelines: Airflow Prefect (optional).
Apply if you have 10 years delivering end-to-end ML solutions
Please share your updated resume and suggest the best number & time to connect with you
Thanks & Regard
Hi Hope you are doing well Please find the job description given below and let me know your interest. Position: Senior Data Scientist (Onsite) Location: Pleasanton CA (Relocation; Ok) Duration: 6 Months Job Description We seek a hands-on Senior Data Scientist to build deploy and optimize ...
Hi
Hope you are doing well
Please find the job description given below and let me know your interest.
Position: Senior Data Scientist (Onsite)
Location: Pleasanton CA (Relocation; Ok)
Duration: 6 Months
Job Description
We seek a hands-on Senior Data Scientist to build deploy and optimize ML models at scale. Focus on Python/SQL-driven data pipelines ML/DL modeling visualization and cloud-based production deployment. Strong emphasis on Azure ecosystem for enterprise data workflows.
Required Skills (Must-Have)
-
Programming: Strong hands-on Python for data prep modeling ML components; SQL (joins window functions CTEs query optimization).
-
Machine Learning: Linear/Logistic Regression Decision Trees Random Forest XGBoost/LightGBM SVM KNN; model evaluation (Precision/Recall F1 ROC-AUC MSE RMSE); tuning (Grid/Randomized search cross-validation).
-
Deep Learning: TensorFlow/Keras/PyTorch; CNNs RNNs/LSTMs Transformers; use cases in NLP computer vision time-series.
-
Data Wrangling: Missing data handling feature engineering cleaning outlier detection normalization/standardization.
-
Data Visualization: Python (Matplotlib Seaborn Plotly); Tableau/Power BI for dashboards reporting storytelling.
-
Databases: Relational (MySQL PostgreSQL SQL Server); NoSQL (MongoDB Cassandra).
Desirable Skills (Preferred for Production/Advanced Roles)
-
Big Data: Spark Hadoop.
-
Cloud (any one strongly preferred): Azure (Data Factory Databricks ML Studio Synapse Analytics) AWS (S3 EC2 SageMaker) GCP (BigQuery Vertex AI).
-
PySpark on Databricks.
-
Deployment: Flask/FastAPI Docker/Kubernetes (optional) CI/CD basics.
-
Data Pipelines: Airflow Prefect (optional).
Apply if you have 10 years delivering end-to-end ML solutions
Please share your updated resume and suggest the best number & time to connect with you
Thanks & Regard
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