Data Scientist on W2

Role: Data Scientist

Location: Berkeley, CA (Onsite Hybrid and Locals)

Duration: 2 yrs. contract

W2 or 1099 only (No 3rd party resumes)

Responsibilities:

· Employ a diverse range of statistical methodologies, including sampling techniques, feature engineering, and other advanced approaches to address and mitigate the social inequities reflected in the data.

· Monitor the performance of the models and make updates and improvements, as necessary.

· Ensure model Explain ability, interpretability, and conduct feature importance analysis to identify the most influential predictors.

· Develop and maintain documentation for models and related processes, including model validation and testing. Present Complex state of the art machine learning and deep learning research to non-technical audiences using visualizations.

· Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions.

· Evaluate and recommend new technologies and tools to improve data science and machine learning architecture.

· Continuously stay up to date with the latest industry trends and advancements in data science, machine learning, and healthcare.

Skills / Qualifications:

· Proficiency in SQL (SQL Server, Oracle, Bigdata), and Python (other scripting Languages: PHP PowerShell, SAS, Linux)

· Bachelor's degree in technical field such as computer science, mathematics, statistics, or equivalent years of experience. Master’s degree preferred.

· Hands-on experience with data manipulation libraries (e.g., pandas, NumPy)

· Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks.

· Experience in advanced multivariate time series statistics/econometric methodologies and using them to validate model assumptions and findings including analysis of model performance.

· Proficiency with feature engineering, model interpretability, and feature importance analysis

· Good understanding of mathematics, statistics, and algorithms (recommendation Engines, Customer Segmentation, Trend Modeling, Time Series Forecasting)

· Excellent analytical and problem-solving abilities.

· Hold yourself and others to a high bar when working with production systems.

· Take pride in taking ownership and driving projects to business impact.
Thrive in a collaborative environment.

PS: Healthcare background is a plus.

Experience in:

1. Recommendation Engines

2. Customer Segmentation

3. SQL Knowledge (SQL Server, Oracle, BigData)

4. Scripting Languages (PHP, Python, PowerShell, SAS)

5. Data Analysis, Data Wrangling and Data Mining

6. Time Series Forecasting Technologies and build models.

7. Large Volume Data Extraction

8. Build Predictive Modeling and create visualizations.

9. Trend Modeling Techniques

10. AI, Machine and Deep Learning

Thank you,

Harsha

Harsha AT clouderasolutions DOT com

925 557 1676

Job Type: Contract

Pay: $45.00 - $55.00 per hour

Schedule:

• Monday to Friday

Work Location: In person

Speak with the employer
91 9255571676

Salary : $45 - $55