Data Scientist - Long Beach, United States - SCAN Group

SCAN Group
SCAN Group
Verified Company
Long Beach, United States

1 week ago

Mark Lane

Posted by:

Mark Lane

beBee recruiter


Description

About SCAN

The Job

You Will

  • Work with stakeholders throughout the organization to identify opportunities for leveraging big data to drive business solutions.
  • Mine and analyze data (both structured and unstructured data) from company databases and external data when needed to drive quality improvement, process optimization and business strategies.
  • Select features, building and optimizing models using machine learning techniques.
  • Process, clean, and verify the integrity of data used for analysis.
  • Use predictive models to increase and optimize intervention targeting, coding accuracy, and other business outcomes.
  • Do adhoc analysis and present results in a clear manner.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Actively support the achievement of SCAN's Vision and Goals.
  • Other duties as assigned.

Your Qualifications

  • Master's degree or PHD in Statistics, Mathematics, Computer Science or another quantitative field required
  • 2+ years of experience handling data sets and building statistical/machine learning models.
  • Experience with cloud computing platform is required, such as Microsoft Azure.
  • Experience building regression and classification models using various supervised and unsupervised learning algorithms (clustering, decision tree learning, neural networks, etc.).
  • Experience with most of the data science related python libraries/packages such as Pandas, NumPy, SciKit-Learn, TensorFlow, Matplotlib, SHAP, etc.
  • Proficiency in using query languages such as SQL.
  • Experience using Microsoft Azure and Databricks (for example, PySpark SQL and Dataframe) to perform data mining and EDA.
  • Experience with Git version control system tool.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • Experience with recommendation systems and algorithms, such as content based filtering and collaborative filtering is preferred.
  • Experience with Natural Language Processing (NLP) is preferred.

What's in it for you?

  • Base Salary Range: $92,400 to $147,800 annually
  • An annual employee bonus program
  • Robust Wellness Program
  • Generous paidtimeoff (PTO)
  • Ten paid holidays per year, plus 1 additional floating holiday
  • Excellent 401(k) Retirement Saving Plan with employer match
  • Robust employee recognition program
  • Tuition reimbursement
  • An opportunity to become part of a team that makes a difference to our members and our community every day
At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces.

We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.

LI-JB1 #LI-Hybrid

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities


The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

41 CFR c)

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