Senior Data Scientist / Machine Learning Engineer

Arivonix; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

An innovative firm is looking for a Senior Data Scientist/Machine Learning Engineer to lead the development of cutting-edge machine learning solutions. In this pivotal role, you'll design and implement advanced algorithms, optimize model performance, and collaborate with cross-functional teams to deliver efficient solutions. With a strong foundation in mathematics and a proven track record in data science, you'll be at the forefront of shaping the future of technology. If you are passionate about leveraging data to drive impactful decisions, this opportunity is perfect for you.

Qualifications

• 5+ years of experience in Data Science or Machine Learning.
• Expertise in linear algebra, statistics, and probability.
• Advanced development experience in Python and machine learning frameworks.

Responsibilities

• Design and implement machine learning algorithms and models.
• Optimize model performance with advanced tuning techniques.
• Collaborate with diverse teams to gather design requirements.

Skills

Data Science

Machine Learning

Python

TensorFlow

PyTorch

Deep Learning

Linear Algebra

Statistics

Probability

Model Performance Tuning

Education

Master's degree in Data Science

Master's degree in Mathematics

Tools

TensorFlow

PyTorch

NumPy

Sci-Kit Learn

Matplotlib

Flask

FastAPI

AWS

Azure

GCP

Job description

We are seeking a Senior Data Scientist/Machine Learning Engineer with a strong foundation in mathematics and advanced data science methodologies. This is a key role in shaping cutting-edge machine learning solutions while collaborating across diverse teams.

Key Responsibilities:

• Design, develop, and implement machine learning algorithms and models , including creating specifications, design documents, and prototypes.
• Optimize model performance with advanced tuning techniques and feature engineering.
• Lead brainstorming sessions for system architecture and feature design to ensure scalability and efficiency.
• Gather and document design requirements by interfacing with key stakeholders and external customers.
• Collaborate with Engineering, Data Science, Product, UX, Business Development, and Infrastructure teams.
• Uphold and promote best coding practices , including thorough documentation and peer reviews.
• Independently manage and complete complex projects with minimal supervision.

Required Qualifications:

• Master s degree in Data Science, Mathematics, or a related field .
• 5+ years of experience in Data Science, Machine Learning, or a similar domain.
• Expertise in linear algebra, statistics, and probability , with hands-on experience in statistical testing, regression, and deep learning techniques.
• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or MxNet.
• Experience with video processing, video codecs , and video management systems.
• Strong understanding of design patterns, algorithms, and data structures to deliver efficient solutions.
• Advanced development experience in Python and libraries like NumPy, Sci-Kit Learn, and Matplotlib.
• Proven track record of model performance tuning and deploying optimized machine learning models.

Preferred Skills:

• Proficiency in creating scalable machine learning pipelines.
• Familiarity with industry standards for code optimization and debugging .

Education Requirements:

• Master s degree in Data Science, Mathematics , or a related discipline is mandatory.

Key Skills:

• Data Science, Machine Learning, TensorFlow, PyTorch, Deep Learning
• Expertise in Python , backend frameworks (Flask, FastAPI), and cloud platforms (AWS/Azure/GCP).