Remote Data Science Engineer (Mid-Sr Levels) - (25022101)

Description:

• We have several immediate opportunities for mid-senior level Data Science Engineers to join our team as a consultant on a long-term contract.
• This role is ideal for someone who thrives on solving complex business problems through advanced analytics and machine learning.
• You will work with large datasets, develop predictive models, and communicate actionable insights to business leaders.
• This is an opportunity to work with a Fortune 50 large enterprise - a leader in their industry.
• The role is fully remote, and the hourly compensation ranges from $55-75/hr.

Requirements:

• You must have a degree in Computer Science, Data Science, Statistics, or a related field.
• You should have 4+ years of experience in data science, machine learning, GenAI, NLP, or related areas.
• Proficiency in Python and SQL is required, along with strong experience using Google Cloud Platform (Vertex AI, BigQuery).
• Hands-on experience with data orchestration tools such as Airflow or Dataflow is necessary.
• A strong understanding of statistical modeling and machine learning techniques is essential.
• You must have a strong understanding of deploying, monitoring, and tuning statistical and machine learning models.
• The ability to work independently and effectively communicate complex concepts to various stakeholders is required.
• You must reside within the continental US while working.
• This role is W-2-only and it is a fully remote, long-term contract opportunity (no C2C).
• You must be exclusively dedicated to this role during standard Eastern Time business hours, with no other simultaneous job engagements permitted.
• We are unable to offer sponsorship for this role.

Benefits:

• Comprehensive medical, dental, and vision insurance options are available, with 50% employer-paid premiums.
• A 401K option is provided after 1 year of employment.
• Profit sharing is included as part of the benefits.
• Professional development and training opportunities are offered to enhance your skills.
• The position is fully remote, and employer-provided equipment will be supplied.