FreshRemote.Work

Data Scientist

US - Remote

AVETTA:

Avetta is a leading software company revolutionizing supply chain risk management. Our AI-powered Connect SaaS platform seamlessly links businesses with a network of pre-vetted suppliers and contractors, streamlining operations and reducing risk. With advanced analytics and predictive insights, we empower organizations to enhance efficiency, maintain compliance, and uphold the highest standards of safety and sustainability.

SUMMARY

We are seeking an experienced Data Scientist to join our growing team. This mid-level role is ideal for candidates with a strong background in data science, statistics, and machine learning, eager to take on complex business challenges. You will work closely with cross-functional teams to analyze large datasets, build advanced predictive models, and provide actionable insights that drive business strategy.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Collect, clean, and preprocess large datasets to ensure accuracy and consistency.
  • Conduct exploratory data analysis (EDA) to uncover patterns and insights.
  • Use Generative AI and/or develop and optimize statistical models and machine learning algorithms to solve business problems.
  • Evaluate model accuracy, precision, recall, confusion matrix, and other performance metrics.
  • Design and implement scalable data-driven solutions to improve processes and performance.
  • Collaborate with software engineers and data engineers to deploy and monitor models in production.
  • Create dashboards and reports to communicate findings and support decision-making.
  • Stay updated with the latest advancements in data science and machine learning techniques.

PREFERRED QUALIFICATIONS:

  • 3+ years of experience in data science, analytics, or related fields.
  • Proficiency in programming languages such as Python.
  • Strong understanding of statistical analysis, probability, and hypothesis testing.
  • Experience in machine learning frameworks such as Pandas and Scikit-learn.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.

IDEAL EDUCATION & TRAINING:

  • B.S. or higher in Data Science, Computer Science, Statistics, Mathematics, or a related field.

At Avetta, we are committed to salary transparency to ensure equitable hiring practices and promote trust. The salary range included in this job posting is based on internal and market data and the role's responsibilities.  The final compensation offered to a candidate will be determined by several factors, including work location, job-related skills, experience, and relevant education or training.

The salary range for this position is $95,000.00 - $190,000.00 per year, with bonus eligibility.

We also offer a comprehensive benefits package, which includes health, dental and vision insurance, 401(k), Paid Time Off, and professional development opportunities.

Avetta is an equal opportunity employer and values diversity. We encourage individuals from all backgrounds and experiences to apply.

To apply for the Data Science position, please submit your online application by 3/10/2025, at 11:59 PM PST.

#LI-REMOTE

#LI-HYBRID

Apply

Job Profile

Regions

North America

Countries

United States

Benefits/Perks

401(k) Dental Insurance Health insurance Paid Time Off Professional development Salary transparency Vision Insurance

Tasks
  • Collaborate with engineers
  • Collect and preprocess datasets
  • Conduct exploratory data analysis
  • Create dashboards and reports
  • Design data-driven solutions
  • Develop and optimize models
  • Evaluate model performance
  • Stay updated on advancements
Skills

Communication Dashboard Creation Data analysis Data preprocessing Data Science Exploratory Data Analysis Machine Learning Model evaluation Pandas Predictive Modeling Problem-solving Python Risk Management SaaS Scikit-learn Statistics

Experience

3 years

Education

B.S. Computer Science Data Science Mathematics MS Related Field Statistics

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9