Data Scientist

Cloud Analytics Technologies, LLC; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking a Data Scientist to develop advanced analytical models, NLP solutions, and predictive algorithms. The role emphasizes Python, machine learning, and model deployment across production environments.

You will collaborate with data engineers, product teams, and stakeholders to drive data-driven decisions, perform advanced analytics, and continuously improve model performance on large-scale datasets.

Qualifications

• Strong Python ML stack experience.
• Proficient in Pandas, NumPy, SciPy for data manipulation and analysis.
• Hands-on ML with Scikit-learn; deep learning with TensorFlow or PyTorch.

Responsibilities

• Develop and implement machine learning models for predictive analytics.
• Perform exploratory data analysis to find patterns in complex datasets.
• Build classification, regression, and clustering models.
• Develop NLP solutions for text processing and sentiment analysis.
• Apply statistical techniques to support data-driven decisions.
• Feature engineering, model selection, and hyperparameter tuning.
• Develop model evaluation frameworks to measure accuracy and performance.
• Work with large datasets using Python and distributed computing tools.
• Deploy machine learning models into production environments.
• Collaborate with data engineers, product teams, and business stakeholders.
• Monitor model performance and implement improvements.
• Present analytical findings and recommendations.

Skills

Python

Pandas/Numpy/Scipy

Scikit-learn

TensorFlow/PyTorch

Statistics

NLP

SQL

Data Visualization

Model Deployment

Git & Docker

Tools

Flask

FastAPI

Docker

Git

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

We are seeking a skilled Data Scientist to develop advanced analytical models, machine learning solutions, and predictive algorithms to solve complex business problems. The ideal candidate should have strong expertise in Python, machine learning, statistical analysis, NLP, and model deployment.

Key Responsibilities

Develop and implement machine learning models for predictive analytics.

Perform exploratory data analysis and identify patterns in complex datasets.

Build classification, regression, and clustering models.

Develop NLP solutions for text processing and sentiment analysis.

Apply statistical techniques to support data-driven decision-making.

Perform feature engineering, model selection, and hyperparameter tuning.

Develop model evaluation frameworks to measure accuracy and performance.

Work with large datasets using Python and distributed computing tools.

Deploy machine learning models into production environments.

Collaborate with data engineers, product teams, and business stakeholders.

Monitor model performance and implement improvements.

Present analytical findings and technical recommendations.

Required Technical Skills

Strong programming experience in Python.

Hands-on experience with Pandas, NumPy, and SciPy.

Expertise in Scikit-learn and machine learning algorithms.

Experience with TensorFlow or PyTorch.

Strong understanding of statistics and probability.

Experience with NLP and text analytics.

Knowledge of SQL and database management.

Experience with data visualization using Matplotlib or Plotly.

Understanding of feature engineering and model optimization.

Experience with model deployment using Flask or FastAPI.

Familiarity with Git, Docker, and ML development workflows.

Preferred Skills

Experience with Generative AI and Large Language Models (LLMs).

Knowledge of RAG and vector databases.

Experience with MLflow and model lifecycle management.

Familiarity with AWS SageMaker or Azure Machine Learning.

Knowledge of Apache Spark and distributed data processing.

Understanding of MLOps and model monitoring.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Some of our Business Ventures - Knowledge Analytics

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