Machine Learning Scientist

OneSix; Raleigh (NC); Remote; USD 80,000 - 140,000; Full time

Job summary

An innovative consultancy is seeking talented professionals eager to make a difference in the world of data and AI. This role offers an exciting opportunity to work with cutting-edge machine learning techniques and collaborate with a diverse team of experts. As part of a fast-growing firm, you will develop and implement scalable machine learning solutions that address real-world challenges across multiple industries, including healthcare, automotive, and gaming. The company fosters a supportive and inclusive work environment, providing ample opportunities for career growth and professional development. If you are passionate about technology and looking to impact clients positively, this is the perfect opportunity for you.

Benefits

Competitive compensation

Company-paid medical benefits

Flexible vacation days

Home office equipment

Team-oriented environment

Company-sponsored events

Qualifications

• Experience in statistical modeling and hypothesis testing.
• Expertise in building and testing machine learning algorithms.

Responsibilities

• Develop custom ML solutions across various industries.
• Train and validate machine learning algorithms effectively.
• Research and evaluate new ML and AI techniques.

Skills

Statistical modeling

Machine learning algorithms

Python programming

Deep learning

NLP

Time series forecasting

Bayesian methods

Education

Formal education not required

Tools

PyTorch

TensorFlow

Slack

Git

Job description

OneSix is a leading data and artificial intelligence (AI) consultancy that helps businesses build the strategy, technology, and teams they need to scale growth and efficiency. Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers seamlessly integrate with client teams to solve their most challenging business problems. Leveraging strategic partnerships with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, the company uses modern technology, scalable architectures, and industry best practices. With the recent acquisition of Strong Analytics, an ML and AI consultancy, OneSix is a uniquely powerful business partner to the enterprise, with a talent mix that is nearly impossible to find under one roof.

OneSix is a fast-growing firm with significant career opportunities for motivated professionals who want to help create a unique company. We are committed to fostering an inclusive employee experience that reflects the world we live in today. We’re an equal-opportunity employer that welcomes people regardless of backgrounds, experiences, abilities, and perspectives.

At OneSix, your work will have an immediate impact on clients addressing real world challenges. Our work spans industries such as manufacturing, gaming, agriculture, automotive, and healthcare, among others. We pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying data science and machine learning to real-world problems where data must be gathered, transformed, cleaned, and integrated into a larger architecture.

Responsibilities

1. Work with other machine learning scientists and engineers to develop custom ML solutions for a variety of industries and use cases
2. Develop, train, and validate machine learning algorithms
3. Apply techniques such as classification, clustering, regression, NLP, deep learning (CNN, RNN, GANs), time series forecasting, and Bayesian methods to build scalable solutions
4. Help create generalized solutions out of specific use cases
5. Help identify areas of opportunity and improvement within projects
6. Research new techniques and technologies in the space of ML and AI, and evaluate their potential for business use cases
7. Collaborate in a fully remote, Agile-like environment using tools like Slack and Git (with a lot of uninterrupted development time)

Job requirements

Applicants must reside in either the US or Canada. All applicants will be considered based on their experience and demonstrated skill/aptitude, not formal education. Candidates will be evaluated based on their experience in the following areas:

1. Statistical modeling and hypothesis testing
2. Designing, training, and validating results from a breadth of machine learning algorithms
3. Building and testing Python applications
4. Building deep neural networks with modern tools, such as PyTorch or Tensorflow

Benefits

• Competitive compensation
• Company-paid medical, vision, dental, and wellness benefits for employees
• Company-provided home office equipment
• Flexible vacation and sick days
• Team-oriented and supportive working environment
• Company-sponsored events and swag

OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.