Data Scientist

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Design and execute techniques and analytical applications to convert raw data into valuable insights.

• Construct and assess marketing machine learning models utilizing both first- and third-party customer data.

• Oversee and manage comprehensive projects, encompassing analysis design, execution, and result summarization.

• Create scalable data pipelines for feature extraction utilizing cloud services.

• Identify, clean, analyze, and summarize data from various complex sources.

• Prototype and implement innovative solutions to enhance the performance of existing machine learning models.

• Document research methodologies, outcomes, and conclusions.

• Communicate research results and recommendations to audiences with diverse levels of expertise.

• Collaborate with data engineering and operations teams to operationalize efforts.

• Automate routine analyses and model-building processes.

• Engage in planning, roadmap, and architecture discussions to advance AI processes and enhance revenue-generating products.

⛳️ Requirements

• Master’s degree in Data Science, Computer Science, or a related discipline.

• Minimum of two years of experience in a computer-related role.

• At least two years of experience in programming and data analysis with Java, Python, Shell Scripting, PySpark, or SAS SQL.

• Proficiency in PostgreSQL or MySQL.

• Experience with Tableau, AWS QuickSight, JavaScript, matplotlib, and seaborn.

• Familiarity with Pentaho, Snowflake, AWS Redshift, or Hadoop.

• Knowledge of AWS services such as S3, RDS, SageMaker, Lambda, Step Functions, or Athena.

• Experience with supervised and unsupervised learning, feature engineering, or hyperparameter tuning.

• Solid understanding of probability and statistics.

• Familiarity with Agile methodologies.

• Experience using Jenkins or Git for version control.

• Competence in data exploration and data visualization.

• Availability to work 40 hours per week, Monday through Friday, from 8:30 a.m. to 5:30 p.m.

• Successful completion of a pre-employment background check and drug screening is required.

🏝️ Benefits

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Paid time off.

• Disability insurance.

• 401(k) plan with company matching.

• Life insurance.

• Voluntary supplemental insurance options.

• Parental leave.

• Adoption assistance.

• Tuition assistance.

• Discounts from employers/partners.

• Potential inclusion of a bonus, commission, or incentive program in total compensation.