Machine Learning (ML) Scientist

Machine Learning Scientist - Data Science Team, Boston, Up to $150,000-180,000

Overview:

We are seeking an experienced Machine Learning Scientist to join a growing Data Science Team within an innovative technology company. This is an exciting opportunity to contribute to cutting-edge projects, work with diverse data sources, and make a real-world impact on within environmental intelligence and the geospatial sector. My client is looking for a Machine Learning Scientist to join their exciting business, who use state of the art ML algorithms to fuse data from Earth Observation to provide high quality data and insights and improve nature based solutions.

Why Join?

Be part of a mission-driven company focused on positive global impact.

Collaborate with a team of highly skilled and passionate data scientists, geospatial experts, and engineers.

Opportunity to work on challenging and impactful projects using state-of-the-art technologies.

Competitive compensation and benefits package.

Flexible work environment with hybrid options available.

Requirements:

• Advanced degree in Comp Sci, Statistics, Mathematics, Data etc.
• Experience in computer vision and/or deep learning
• Proficient in open-source programming such as Python or R
• Experience using ML libraries such as TensorFlow, PyTorch etc.
• Strong communication and collaboration skills
• Knowledge of Bayesian methods and time series analytics

What will make you stand out?

• Experience with geospatial analytics and/or remote sensing data
• Experience building and deploying production grade ML systems
• Experience with cloud platforms such as AWS, Azure

This is a really exciting opportunity for a Data Scientist/ML Scientist to join one of the fastest growing geospatial startups in the US who have an amazing work culture and progression plan for empoyees.

This role is paying up to $180,000 hybrid working in Boston equity and many other benefits

SEO Keywords for Search:

Machine Learning Scientist, Data Scientist, Applied Machine Learning, Deep Learning, Computer Vision, Time Series Analysis, Geospatial Data, Remote Sensing, Python, R, TensorFlow, PyTorch, Scikit-Learn, Data Science, Statistical Modeling, Bayesian Methods, Algorithm Development, Model Deployment, Production Engineering, Data Analysis, Feature Engineering, Data Mining, Predictive Modeling.

Disclaimer:

Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.