Merge API Integration Sandbox · Posted 9mo ago
Data Scientist
- Location
- Newyork
- Role
- Data science
- Source
- Employer’s own job board (Greenhouse)
Stack
- Pandas
- NumPy
- Tableau
- Power BI
- SQL
- Python
- AWS
- GCP
- Azure
The posting
Job Title: Data Scientist
Location: [Add Location / Remote]
Experience: [X–Y years]
Department: Data & Analytics / AI
Employment Type: Full‑Time
🔍 Role Overview
We are seeking a skilled Data Scientist to analyze complex datasets, build predictive models, and deliver actionable insights. The ideal candidate has strong statistical knowledge, hands‑on ML experience, and a passion for solving real‑world business problems using data.
🛠 Key Responsibilities
• Collect, clean, and preprocess structured and unstructured datasets
• Perform Exploratory Data Analysis (EDA) to identify patterns and insights
• Build, test, and deploy machine learning models (classification, regression, clustering, NLP, etc.)
• Develop statistical models and forecasting solutions
• Create dashboards, reports, and visualizations for business stakeholders
• Collaborate with engineering, product, and business teams on data-driven initiatives
• Deploy ML models using APIs or cloud services; monitor model performance
• Document methodologies, workflows, and insights clearly
🎯 Required Skills
Technical Skills
• Strong programming skills in Python (Pandas, NumPy, Scikit‑learn) or R
• Solid understanding of statistics , probability, and linear algebra
• Experience with machine learning algorithms and model optimization
• Proficiency in SQL for querying and data manipulation
• Knowledge of data visualization tools (Matplotlib, Seaborn, Power BI, Tableau)
• Familiarity with cloud platforms ( AWS, Azure, GCP )
• Understanding of model deployment and MLOps basics (preferred)
Soft Skills
• Strong analytical thinking and problem‑solving skills
• Ability to communicate technical insights in simple terms
• Team collaboration and stakeholder management skills
• Attention to detail and high standard of accuracy
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