Senior Data Science Specialist
Position:
Senior Data Science Specialist
Type:
Hourly Contract (Part-Time)
Compensation:
$50–$70/hour
Location:
Remote
About the Opportunity
This opportunity is for experienced
Senior Data Science Specialists
interested in contributing to advanced
AI research and evaluation projects
focused on improving the accuracy, reasoning, and analytical capabilities of next-generation AI systems.
The role involves evaluating
AI-generated data science solutions
, assessing statistical and machine learning methodologies, and applying real-world data science expertise to improve the performance of advanced AI models.
No prior
AI experience
is required. Your
data science expertise, analytical skills, and professional experience
are the primary qualifications for success in this role.
Responsibilities
Evaluate
AI-generated data science solutions, statistical analyses, and machine learning outputs
for accuracy and quality.
Solve complex
data analysis, statistical modeling, machine learning, and predictive analytics
problems.
Review AI-generated approaches involving
data preprocessing, feature engineering, model development, validation, and evaluation
.
Analyze
datasets, statistical methodologies, predictive models, and analytical workflows
.
Identify errors, inconsistencies, methodological issues, and
edge cases
in AI-generated analyses.
Compare multiple AI-generated solutions and assess their
technical strengths, weaknesses, and reasoning quality
.
Provide structured technical feedback to improve
AI accuracy, analytical reasoning, and model performance
.
Collaborate with technical reviewers and interdisciplinary teams to maintain
consistent evaluation standards and data quality
.
Required Qualifications
2+ years of professional Data Science experience
or equivalent industry/research experience.
Strong experience with
data analysis, statistical modeling, machine learning, predictive modeling, and data visualization
.
Proficiency in
Python, SQL, and common data science libraries and frameworks
.
Strong understanding of
statistics, probability, machine learning algorithms, model evaluation, and experimental design
.
Experience working with
real-world datasets
and translating data into actionable insights.
Ability to evaluate
AI-generated analyses, models, and technical solutions
for correctness and effectiveness.
Excellent
analytical, problem-solving, and written communication skills
.
Preferred Qualifications
Experience working with
large-scale datasets, advanced machine learning systems, or production data science workflows
.
Experience with
PyTorch, TensorFlow, scikit-learn, XGBoost
, or similar machine learning frameworks.
Familiarity with
AI, generative AI, LLMs, AI model evaluation, or data annotation
.
Experience with
A/B testing, experimentation, causal inference, time-series analysis, or advanced statistical methods
.
Familiarity with
cloud platforms, distributed computing, MLOps, or data engineering workflows
.
Prior experience with
AI evaluation, technical review, or model quality assessment projects
.
Compensation
Competitive compensation of $50–$70/hour.
Weekly payments.
Independent contractor engagement.
Application Process
Easy Apply on LinkedIn
Check Email for Next Steps
Participate in Resume Evaluation & Interview Stage