Data Scientist

Robotics Technologies; San Francisco (CA); On-site; USD 130,000 - 200,000; Full time

Job summary

Robotics Technologies LLC is seeking a skilled Data Scientist to develop advanced analytical models, machine learning solutions, and predictive algorithms to solve complex business problems. You will leverage Python, ML, NLP, and model deployment to deliver practical results.

The role focuses on building predictive analytics, exploring large datasets, and deploying models into production alongside cross‑functional teams. Strong experience with Python and ML frameworks is required.

Qualifications

• Strong Python programming and ML modeling fundamentals.
• Experience with Pandas, NumPy, SciPy and Scikit-learn.
• Experience with deploying models using Flask or FastAPI.
• Experience with NLP and text analytics.

Responsibilities

• Develop and implement ML models for predictive analytics.
• Perform exploratory data analysis and pattern discovery.
• Build classification, regression, and clustering models.
• Deploy models to production environments.
• Collaborate with data engineers and stakeholders.
• Monitor model performance and iterate improvements.
• Present analytical findings and recommendations.

Skills

Python

Pandas

NumPy

SciPy

Scikit-learn

TensorFlow

PyTorch

NLP

SQL

Data visualization

Matplotlib

Plotly

Flask

FastAPI

Git

Docker

Model deployment

ML workflows

Statistics

Probability

Distributed computing

Spark

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.