About
Curious about how data shapes business decisions and drives innovation? Join Spectrum as an Associate Data Scientist and help uncover insights that solve real business challenges. Collaborate with experienced data scientists, sharpen your technical skills and learn to communicate complex ideas effectively. Your work will directly support Spectrum’s mission to deliver impactful, data-driven solutions.
This position is in an office environment with a hybrid work schedule. Eligible employees can work from home up to one day each week.
How You’ll Make an Impact
Support the complete analytics life cycle by gathering requirements, exploring data, prototyping models and validating results
Assist in cleaning, aggregating and analyzing large data sets to generate actionable insights
Collaborate with stakeholders to identify opportunities for business improvement using statistical and analytical methods
Help design and implement statistical data quality procedures for new and existing data sources
Contribute to communicating data science concepts and solutions clearly to team members and business leaders
Establish connections across data sources and identify new, meaningful data relationships
Aid in presenting findings and recommendations to key stakeholders while ensuring project goals are met on time
What You’ll Bring to Spectrum Required Qualifications Education
Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience
Experience
0-3 years of experience in data analytics
0-2 years of programming experience
Skills
Interpersonal, verbal and written communication skills with a focus on teamwork
Minimal experience with analytical and statistical software
Minimal experience using Python or R for data science
Basic SQL skills
Strong analytical and problem-solving abilities with attention to detail and data accuracy
Ability to perform thorough research and analysis
Commitment to confidentiality and proper handling of sensitive information
Knowledge of computer science principles such as algorithms, data structures and design methodologies
Prior exposure to cloud-based infrastructures
Prior exposure to big data tools including Spark and Hive
Ability to read, write, speak, and understand English
Preferred Qualifications Experience
Internship experience in a data scientist role
A qualified applicant’s criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
EOE, including disability/vets.
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Languages
- English
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