Brooksource · 4 days ago
Data Scientist
Miami, FL
Full-time
Hybrid
Entry, Mid Level
2+ years expBrooksource is seeking a Data Science Contractor to support their centralized Data Analytics & AI team. This role focuses on designing, building, and validating datasets that power analytics, reporting, and machine learning solutions across the company.
EmploymentHuman ResourcesInformation Technology
No H1B
Hiring Manager
Jonathan Robertson
Responsibilities
Partner with Data Scientists, Analysts, and business stakeholders to understand requirements and translate them into well-structured, analytics-ready datasets
Use SQL and Python (or similar languages) to extract, transform, and load data from multiple sources (databases, APIs, files, third-party systems)
Design and implement data transformations (joins, aggregations, feature creation, reshaping) to support reporting, analytics, experimentation, and modeling
Help standardize business definitions, metrics, and dimensions across datasets to ensure consistency and reusability
Build and maintain repeatable data preparation workflows to feed curated tables, views, and data marts
Implement data quality checks and validation rules to ensure completeness, accuracy, and timeliness
Investigate and resolve data issues, discrepancies, and anomalies in partnership with source system owners and downstream users
Document lineage, schemas, and transformation logic, aligning with internal governance standards
Ensure datasets are designed to support key business KPIs, dashboards, and analytic use cases
Provide Data Scientists with clean, structured input datasets for modeling and experimentation
Support Analysts and business users in understanding table structures, field definitions, and best practices for querying data
Assist in developing or refining semantic layers and reusable queries that simplify access to complex data
Create and maintain data dictionaries, schema documentation, and transformation specifications
Clearly document assumptions, business rules, and known data limitations
Contribute to internal best practices for dataset design, reproducibility, and code organization
Participate in team meetings, code reviews, and technical discussions with Data Scientists, Engineers, and business partners
Qualification
Required
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, Engineering, or a related quantitative field; or equivalent practical experience
2+ years of hands-on experience in data-focused roles (e.g., data science, analytics, BI, or similar), with significant work building and transforming datasets
Strong proficiency in SQL, including complex joins, aggregations, window functions, and performance-aware query design
Proficiency in Python (or R) for data wrangling, scripting, and automation; experience with libraries such as pandas, NumPy or equivalent
Experience creating repeatable ETL/ELT-style workflows or scripted data preparation processes
Experience working with relational databases and/or modern cloud data warehouses
Ability to work with large, messy, real-world datasets, including cleaning, reshaping, and validating data
Strong analytical and quantitative problem-solving skills
Ability to clearly explain data structures, assumptions, and trade-offs to both technical and non-technical stakeholders
Proven ability to manage multiple tasks and priorities in a fast-paced environment
Preferred
Experience with dimensional data modeling (e.g., star/snowflake schemas) and designing analytics data marts
Hands-on experience with cloud platforms (Azure, AWS, or GCP) and cloud data warehouses (e.g., Snowflake, Redshift, BigQuery, Azure Synapse)
Familiarity with big data or distributed processing frameworks (e.g., Spark, Databricks)
Exposure to workflow orchestration and transformation tools (e.g., Airflow, dbt, Azure Data Factory, AWS Glue)
Experience with version control (Git, GitHub/GitLab/Bitbucket) and collaborative development workflows
Experience supporting data science or machine learning teams, including building feature-ready datasets
Experience developing dashboards or reports with tools such as Tableau, Power BI, or similar
Background working in Agile or iterative development environments
Company
Brooksource
Brooksource is a single source for project and supplemental support through contract employment, contract-to-hire labor employment.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Ashley Cigolotti
Director, Global Partnerships
Matt Ayala
National Account Executive (Global Partnerships)
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