Junior Data Scientist
Remote · location unlistedFull-timePosted 1y agoStill listed 2 days ago
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Job overview
BetterCharge is hiring a Junior Data Scientist. BetterCharge is seeking a Junior Data Scientist to join their team. This role involves transforming raw data into insights and models to power their product, focusing on recovering failed card transactions using AI and deep data signals. The position offers an opportunity for early-career professionals to learn quickly, make an impact, and grow into a well-rounded data scientist within a high-growth startup environment.
Key focus areas include Explore and analyze large, complex datasets, Build and test ML models to predict payment outcomes, and Support feature engineering and data preparation.
Successful candidates bring 0-2 Years Data Science Experience. Important skills include Python, Pandas, scikit-learn, SQL, Classification, and Regression. Preferred (not required): Snowflake and BigQuery.
Skills & qualifications
Skills
Qualifications
Full job description
About Better Better is redefining fintech by recovering failed card transactions in real time using AI and deep data signals. Our technology helps merchants and PSPs recover revenue that would otherwise be lost - automatically and at scale. We’re looking for a Junior Data Scientist to help turn raw data into insights and models that power our product. This is a great opportunity for someone early in their career who wants to learn quickly, make an impact, and grow into a well-rounded data scientist in a high-growth startup.
Why Join
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Work at the intersection of fintech and AI, tackling a problem that impacts billions of online transactions
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Be an early member of the data science team with mentorship from experienced engineers and data scientists
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Grow across the ML lifecycle - from exploration to deployment
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Solve real-world problems with immediate impact on customers and revenue
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Flexible remote work, supportive team, and strong career growth potential
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Explore and analyze large, complex datasets from merchants, PSPs, and payment providers
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Build and test ML models to predict payment outcomes and improve transaction recovery
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Support feature engineering and data preparation for training and evaluation
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Contribute to data quality checks, monitoring, and validation
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Collaborate with engineers and senior data scientists to bring models into production
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Present insights and findings to product and business teams in a clear, actionable way
Technical skills
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Up to 2 years of experience in data science (internships or academic projects welcome)
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Solid foundation in Python for data analysis and ML (pandas, scikit-learn, etc.)
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Strong SQL skills for data extraction and transformation
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Familiar with ML concepts such as classification, regression, and model evaluation
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Exposure to cloud data platforms like Snowflake or BigQuery is a plus Mindset & soft skills
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Naturally curious, analytical, and eager to grow
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Comfortable with ambiguity and asking the right questions
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Self-driven with attention to detail and a strong sense of ownership
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Clear communicator who can explain technical concepts simply
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Excited to thrive in a fast-paced startup and help build intelligent fintech solutions
Apply now
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