Senior Data Scientist

4 weeks ago

Columbus, Ohio, United States Saxon Global Full time
Job Description

We are seeking a highly skilled Senior Data Scientist to join our team at Saxon Global. As a key member of our Enterprise Data and Analytics team, you will be responsible for leveraging machine learning, segmentation, and statistical inference to drive business insights and improve decision-making processes.

The ideal candidate will have a strong background in machine learning, data analytics, and statistical modeling, with experience in building and deploying predictive models using R/RStudio, Python, SAS, SQL, and NoSQL technologies. A strong understanding of cloud machine learning technologies, such as AWS Sagemaker, and machine learning environments, such as TensorFlow, scikit-learn, and caret, is also essential.

The Senior Data Scientist will contribute to building and developing the organization's data infrastructure, supporting senior leadership with insights, management reports, and analysis for decision-making processes. The role requires strong communication and interpersonal skills, with the ability to articulate complex results to technical and non-technical audiences.

Key Responsibilities:

  • Perform advanced analytics methods to extract value from business data.
  • Perform large-scale experimentation and build data-driven models to answer business questions.
  • Conduct research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
  • Determine requirements that will be used to train and evolve deep learning models and algorithms.
  • Articulate a vision and roadmap for the exploitation of data as a valued corporate asset.
  • Influence product teams through presentation of data-based recommendations.
  • Evangelize best practices to analytics and products teams.

Requirements:

  • Master's Degree in computer science, statistics, economics, or related fields.
  • 3+ years of work and/or educational experience in machine learning or cloud computing.
  • Experience using statistics and machine learning to solve complex business problems.
  • Experience conducting statistical analysis with advanced statistical software.
  • Experience scripting languages, and packages.
  • Experience building and deploying predictive models.
  • Experience with web scraping, and scalable data pipelines.
  • Experience with big data analysis tools and techniques.

Preferred Qualifications:

  • Up-to-date knowledge of machine learning and data analytics tools and techniques.
  • Strong knowledge in predictive modeling methodology.
  • Experienced at leveraging both structured and unstructured data sources.
  • Willingness and ability to learn new technologies on the job.
  • Demonstrated ability to communicate complex results to technical and non-technical audiences.
  • Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines.
  • Strategic, intellectually curious thinker with focus on outcomes.
  • Professional image with the ability to form relationships across functions.
  • Strong experience with R/RStudio, Python, SAS, SQL, NoSQL.
  • Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker).
  • Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret).
  • Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling.
  • Financial Services background.

Pay Rate: $49-$54 an hour depending on experience.

Required Skills: R/RStudio, Python, SAS, SQL, NoSQL, Machine Learning/Cloud Machine Learning - Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multilevel modeling.

Background Check: Yes.

Drug Screen: Yes.

Notes:

Selling points for candidate:

Project Verification Info:

Candidate must be your W2 Employee: Yes.

Exclusive to Apex: No.

Face to face interview required: No.

Candidate must be local: Yes.

Candidate must be authorized to work without sponsorship: No.

Interview times set: : No.

Type of project: Project Management Office.

Master Job Title: Data Scientist.

Branch Code: Columbus.

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