Entry-Level Data Scientist at bEdge Tech Services | Torre
Entry-Level Data Scientist
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bEdge Tech Services

Entry-Level Data Scientist

bEdge Tech Services
Posted by
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Emma
Emma
You'll drive data-driven decisions by building models and generating insights from diverse datasets.
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Full-time

Legal agreement: Employment

Compensation
USD70k - 90k/year
Negotiable
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Remote (for United States residents)
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Posted 9 days ago

Requirements and responsibilities

Job Summary: - We are seeking a motivated Entry-Level Data Scientist to support data-driven decision-making by analyzing datasets, building basic predictive models, and generating insights. - This role is ideal for recent graduates or candidates with 0–2 years of experience who are passionate about data, statistics, and machine learning. Key Responsibilities: - Collect, clean, and preprocess structured and unstructured data. - Perform exploratory data analysis (EDA) to identify trends and patterns. - Build and evaluate basic machine learning models. - Develop data visualizations and dashboards. - Write SQL queries to extract and validate data. - Collaborate with data engineers, analysts, and business teams. - Document methodologies, findings, and model results. - Support deployment and monitoring of models (basic level). Required Skills & Qualifications: - Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. - 0–2 years of experience (freshers welcome). - Strong knowledge of: - Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn). - Statistics & probability (hypothesis testing, distributions). - SQL (joins, aggregations). - Basic understanding of machine learning algorithms. - Strong analytical and problem-solving skills. - Good communication skills. Preferred Qualifications: - Internship or academic project in data science / analytics. - Experience with tools: - Jupyter Notebook. - Power BI / Tableau. - Exposure to: - Deep learning (TensorFlow / PyTorch). - Cloud platforms (AWS, Azure, GCP). - Knowledge of data pipelines or big data tools (Spark – basic). Key Deliverables: - Cleaned datasets and data pipelines (basic level). - Data analysis reports and dashboards. - Machine learning models (baseline models). - Documentation of insights and recommendations.
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