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# Big Data Scientist

- **Company:** Data Finds LLC
- **Location:** Greece, NY, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Cloud Computing, Decision Support Systems, Python (Programming Language), Machine Learning, Tensorflow, Software Deployment, SQL Databases, Apache Spark, Keras, Scikit Learn, Information Technology, Xgboost
- **Published:** August 24, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pelded8bpy

## About the Role

Proven ability to lead data and AI projects from concept to production deployment and measurable business impact.

Strong analytical thinking and problem-solving skills, with attention to detail and a results-oriented mindset.

Experience designing experiments, validating hypotheses, and measuring the commercial impact of analytical solutions.

Creative and thinker with strong collaboration and stakeholder management skills in cross-functional environments.

Excellent verbal and written communication skills in English, with the ability to simplify complex concepts for business audiences.

Technical / Professional Qualifications

3+ years of experience in data analysis, statistical modelling, and Machine Learning solution development

Master's Degree or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or another quantitative discipline.

Solid programming skills in Python and experience with SQL and large-scale data manipulation.

Hands-on experience with Machine Learning frameworks and AI libraries such as Scikit-learn, XGBoost, TensorFlow, Keras, H2O, or similar.

Experience working with Cloud Platforms and Apache Spark will be considered a plus.

## Description

Extract, analyze, and interpret large-scale datasets to drive optimization, automation, and data-driven decision making.

Collaborate with business stakeholders and technical teams to enhance customer journeys and commercial strategies through AI and analytics.

Translate business problems into analytical frameworks, define hypotheses, and develop scalable Machine Learning solutions.

Communicate insights, recommendations, and technical findings effectively to both technical and non-technical audiences.

Key performance indicators

Deliver high-quality Machine Learning and AI solutions that generate measurable business value and commercial impact.

Translate analytical outcomes into measurable business KPIs such as revenue uplift, customer retention, operational efficiency, and customer experience improvement.

Act as a strong advocate for data-driven decision making across business and customer-facing functions.


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