Data Scientist, Finance

Softcard (acquired by Google)

Data Scientist at Motion leveraging data to design predictive models and analyze trends. Collaborating with stakeholders to derive insights for better data-based decisions.

Posted 6/12/2026full-timeBirmingham • Alabama • 🇺🇸 United StatesSeniorLeadWebsite

About the role

Key responsibilities & impact

Under limited supervision, the Data Scientist works closely with business stakeholders to understand how data can be used to achieve their goals.
Designs data modeling processes, creates algorithms and predictive models and helps analyze the data and shares insights.
Critical thinking and problem-solving skills are essential for interpreting data.
Must have a passion for machine-learning and research.
This position will be tasked with helping the company analyze trends to make better data-based decisions.
Analyzes large amounts of information to discover trends and patterns.
Designs machine learning models for predictive analytics.
Presents information using data visualization techniques.
Undertakes preprocessing of structured and unstructured data.
Identifies valuable data sources and automates collection processes.
Performs other duties as assigned.

Requirements

What you’ll need

Typically requires a bachelor's degree in Mathematics, Computer Science, Physics, Economics, Engineering, Statistics, Operations Research, Quantitative Social Science or a related area
at least seven (7) years of related experience or equivalent combination
Basic knowledge of software development principles and architecture
Excellent verbal and written communication skills
Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods
Must be a team player with excellent analytical and problem solving skills.

Benefits

Comp & perks

healthcare coverage
401(k)
tuition reimbursement
vacation
sick pay
holiday pay

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data modelingalgorithmspredictive modelsmachine learningdata analysisdata visualizationdata preprocessingautomated data collectionquantitative methodssoftware development principles

Soft Skills

critical thinkingproblem-solvingcommunicationteam playeranalytical skills