Elios Talent
Senior Data Scientist – Predictive Modeling | Python | Business Impact
Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply.
We’re looking for a Senior Data Scientist to uncover insights, build predictive models, and drive data-informed decisions across the business. You’ll play a critical role in transforming raw data into strategic recommendations and intelligent systems.
Tech Stack You'll Work With: Python, SQL, Pandas, Scikit-learn, Jupyter, Tableau/Power BI, AWS/GCP, MLFlow, Spark
What You'll Do: Design and deploy machine learning models to solve high-value business problems Analyze large datasets to uncover trends, patterns, and actionable insights Partner with cross-functional teams to define metrics and evaluate outcomes Build dashboards and reports to visualize KPIs and track model performance Communicate findings to both technical and non-technical audiences Contribute to data science best practices, experimentation frameworks, and model governance
What We're Looking For: 5+ years of experience in data science or applied analytics Strong programming skills in Python and SQL Deep understanding of statistical modeling, machine learning, and data wrangling Experience with cloud-based data tools (AWS, GCP, or Azure) Proven ability to translate complex data into business value Bonus: Experience with A/B testing, causal inference, or time series modeling
Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply.
We’re looking for a Senior Data Scientist to uncover insights, build predictive models, and drive data-informed decisions across the business. You’ll play a critical role in transforming raw data into strategic recommendations and intelligent systems.
Tech Stack You'll Work With: Python, SQL, Pandas, Scikit-learn, Jupyter, Tableau/Power BI, AWS/GCP, MLFlow, Spark
What You'll Do: Design and deploy machine learning models to solve high-value business problems Analyze large datasets to uncover trends, patterns, and actionable insights Partner with cross-functional teams to define metrics and evaluate outcomes Build dashboards and reports to visualize KPIs and track model performance Communicate findings to both technical and non-technical audiences Contribute to data science best practices, experimentation frameworks, and model governance
What We're Looking For: 5+ years of experience in data science or applied analytics Strong programming skills in Python and SQL Deep understanding of statistical modeling, machine learning, and data wrangling Experience with cloud-based data tools (AWS, GCP, or Azure) Proven ability to translate complex data into business value Bonus: Experience with A/B testing, causal inference, or time series modeling