Data Scientist III

SGS Consulting; Washington (District of Columbia); On-site; USD 110,000 - 150,000; Full time

Job summary

SGS Consulting is seeking a data analytics professional to collaborate with cross-functional teams to translate business challenges into data-driven solutions that improve decision-making and efficiency. You will apply statistics, ML, and analytics techniques to design metrics, BI, and experiments, partnering with data engineers and product managers to drive impact across stakeholders.

This role emphasizes rigorous data collection, modeling, and communicating results to diverse audiences.

Qualifications

• Must have strong SQL in big data environments and data modeling.
• Experience turning business challenges into data-driven analytics solutions.
• Ability to analyze, report, and recommend actions across stakeholders.
• Experience improving data collection, processing, and data integrity.

Responsibilities

• Collaborate with cross-functional data and business teams to define problems, analyze impacts, identify opportunities, and develop solutions that improve decision-making and efficiency.
• Translate business challenges into data-driven problems and design data science solutions, including metrics and analytics, BI, and experimentation.
• Utilize statistics, machine learning, optimization, and automation to develop analytics solutions.
• Work closely with stakeholders, data engineers, and program/product managers to ensure seamless progress.

Skills

Advanced SQL in big data environments

Data analysis & metrics development

Data cleaning & data integrity

Statistical analysis & experimental设计

Education

Bachelor's degree in Computer Science, Computer Engineering, or equivalent

2+ years advanced SQL in big data environments (Hive, Presto, Spark)

2+ years data analysis, metrics development, and cross-stakeholder reporting

Experience enhancing data collection and data processing

Proficiency in statistical analysis and experimental design

Job description

Job Responsibilities

• Collaborate with cross-functional data and business teams to define problems, analyze impacts, identify opportunities, and develop solutions that improve decision-making and efficiency.
• Translate business challenges into data-driven problems and design appropriate data science solutions, including metrics and analytics, business intelligence, and experimentation.
• Utilize expertise in statistics, machine learning, optimization, and automation to develop analytics solutions.
• Work closely with stakeholders, data engineers, and program/product managers to ensure seamless progress.

Skills

• Minimum 2+ years of experience with advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling.
• Minimum 2+ years experience analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders.
• Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis.
• Proficient in statistical analysis and experimental design.

NICE-TO-HAVE SKILLS

• Demonstrated experience with data management, data engineering and research devices in ambiguous environments.
• Experience building medium to large scale systems and services.

Education/Experience

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 2+ years of experience with advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling.
• 2+ years experience analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders.
• Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis.
• Proficient in statistical analysis and experimental design.