We are seeking a highly analytical and detail-oriented Data Scientist to join our growing data team. The ideal candidate will be responsible for collecting, analyzing, and interpreting large volumes of structured and unstructured data to solve complex business problems. You will build predictive models, develop machine learning algorithms, generate actionable insights, and collaborate with cross-functional teams to drive data-driven decision-making across the organization.

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Key Responsibilities

1. Data Collection & Preparation

• Collect data from multiple internal and external sources.
• Clean, transform, and preprocess large datasets.
• Handle missing values, duplicate records, and data inconsistencies.
• Perform feature engineering for machine learning models.
• Ensure data quality, integrity, and governance.

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2. Exploratory Data Analysis (EDA)

• Analyze datasets to identify trends and patterns.
• Perform statistical analysis to uncover insights.
• Visualize data using charts, graphs, and dashboards.
• Identify anomalies and business opportunities.
• Present findings to stakeholders.

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3. Machine Learning Model Development

• Design and implement supervised and unsupervised learning models.
• Train, validate, and optimize predictive models.
• Build recommendation systems and classification models.
• Develop forecasting models.
• Evaluate models using appropriate performance metrics.

Examples:

• Customer Churn Prediction
• Fraud Detection
• Sales Forecasting
• Recommendation Systems
• Demand Prediction
• Price Optimization

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4. Statistical Analysis

• Perform hypothesis testing.
• Conduct regression analysis.
• Perform A/B testing.
• Apply probability distributions.
• Identify correlations and causations.
• Interpret statistical results for business decisions.

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5. Model Deployment

• Deploy ML models into production.
• Build APIs for machine learning services.
• Monitor model performance.
• Retrain models when necessary.
• Optimize inference time and scalability.

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6. Data Visualization & Reporting

Create dashboards and reports using:

• Power BI
• Tableau
• Looker
• Matplotlib
• Seaborn
• Plotly

Present:

• KPIs
• Trends
• Forecasts
• Business Insights

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7. Business Intelligence

Work closely with business teams to:

• Understand business problems.
• Translate business requirements into analytical solutions.
• Provide data-driven recommendations.
• Improve operational efficiency.
• Increase revenue through analytics.

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8. Big Data Processing

Work with large-scale datasets using:

• Apache Spark
• Hadoop
• Hive
• Kafka
• Databricks

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9. Data Engineering Collaboration

Collaborate with engineers to:

• Build data pipelines.
• Maintain ETL workflows.
• Automate data processing.
• Optimize database performance.

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10. Research & Innovation

• Explore new AI technologies.
• Evaluate new machine learning algorithms.
• Experiment with Large Language Models (LLMs).
• Stay current with industry trends.

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Required Technical Skills

Programming Languages

• Python
• R
• SQL
• Scala (preferred)
• Java (optional)

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Python Libraries

Data Analysis

• Pandas
• NumPy
• SciPy

Data Visualization

• Matplotlib
• Seaborn
• Plotly

Machine Learning

• Scikit-learn
• XGBoost
• LightGBM
• CatBoost

Deep Learning

• TensorFlow
• PyTorch
• Keras

NLP

• NLTK
• SpaCy
• Hugging Face Transformers

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Databases

• MySQL
• PostgreSQL
• SQL Server
• MongoDB
• Snowflake
• BigQuery
• Redshift

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Cloud Platforms

• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)

Cloud Services:

• AWS SageMaker
• Azure ML
• Vertex AI
• S3
• Lambda

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Big Data Tools

• Apache Spark
• Hadoop
• Kafka
• Hive
• Databricks

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BI & Visualization Tools

• Power BI
• Tableau
• Looker
• Excel

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Version Control

• Git
• GitHub
• GitLab
• Bitbucket

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Statistical Knowledge

Candidates should have experience with:

• Probability
• Linear Algebra
• Statistics
• Regression
• Classification
• Clustering
• Bayesian Statistics
• Hypothesis Testing
• Time Series Analysis

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.This position's pay range is $20.00/hr - $22.00/hr.