Andiamo

Data Scientist / Machine Learning Engineer — Advanced Analytics & AI Solutions 
 
Turn complex data into powerful, real-world business outcomes. This role offers the opportunity to work on sophisticated analytical and machine learning challenges within a modern, data-driven environment. You will design and deploy advanced models that uncover insights, drive decision-making, and solve high-impact business problems across large-scale systems. 
 
This position is ideal for someone who enjoys combining statistical rigor, technical engineering, and practical application—building solutions that move beyond theory and deliver measurable results. 
 
Role Overview 
 
The Data Scientist / Machine Learning Engineer is responsible for developing advanced analytical models and algorithms that transform large, complex datasets into actionable insights. You will work across the full lifecycle of data science projects—from data exploration and feature engineering to model development, validation, and deployment. 
 
This role requires strong collaboration with technical teams, domain experts, and business stakeholders to ensure that analytical solutions are both technically sound and aligned with real-world needs. 
 
Key Responsibilities 
 
Advanced Analytics & Model Development 
 
Design and implement statistical and machine learning models to solve complex business problems, including classification, regression, anomaly detection, and forecasting. 
 
Data Exploration & Preparation 
 
Analyze large datasets to identify patterns, relationships, and anomalies. Perform data cleaning, transformation, and feature engineering to prepare data for modeling. 
 
Algorithm Design & Optimization 
 
Develop and refine algorithms using advanced statistical techniques and machine learning methodologies to improve model accuracy and performance. 
 
End-to-End Solution Delivery 
 
Build and deploy analytical solutions using modern tools and frameworks, ensuring scalability, reliability, and maintainability in production environments. 
 
Cross-Functional Collaboration 
 
Partner with domain experts, engineers, and architects to align data models with business objectives and technical infrastructure. 
 
Data Pipeline & Architecture Alignment 
 
Work with technical teams to ensure appropriate data flow, storage, and processing architectures support analytical workloads. 
 
Model Validation & Performance Monitoring 
 
Validate models using statistical testing and performance metrics. Monitor models over time to ensure continued accuracy and relevance. 
 
Communication & Reporting 
 
Translate complex analytical findings into clear, actionable insights for both technical and non-technical stakeholders. 
 
Knowledge Sharing & Mentorship 
 
Support team development by sharing expertise, guiding less experienced team members, and contributing to a collaborative learning environment. 
 
Required Qualifications 
 
Education 
 
Bachelor’s or Master’s degree in Data Science, Computer Science, Information Technology, Statistics, or a related field. Equivalent experience may also be considered. 
 
Programming Skills 
 
Strong proficiency in Python and SQL for data analysis, model development, and data manipulation. 
 
Data Platform Expertise 
 
Machine Learning Experience 
 
Hands-on experience working with Databricks in production environments (required). 
 
Experience developing and deploying predictive models and analytical solutions in real-world applications. 
 
Statistical Knowledge 
 
Strong understanding of statistical methods including hypothesis testing, regression analysis, probability distributions, and time series modeling. 
 
Big Data & Cloud Environments 
 
Experience working with large-scale datasets and distributed computing environments, including cloud platforms such as AWS or Azure. 
 
Problem-Solving Skills 
 
Ability to analyze complex systems, identify root causes, and develop data-driven solutions. 
 
Communication Skills 
 
Strong ability to communicate technical concepts and analytical findings clearly to diverse audiences. 
 
Preferred Qualifications 
 
Experience working with the Ray framework for distributed computing. 
 
Familiarity with big data tools and open-source ecosystems. 
 
Experience in Agile development environments. 
 
Knowledge of CI/CD pipelines and model deployment best practices. 
 
Experience validating and testing machine learning systems in production. 
 
Exposure to reliability engineering or system performance domains. 
 
What Makes a Strong Candidate 
 
Ability to bridge the gap between data science theory and practical implementation. 
 
Comfort working in fast-paced environments with evolving project requirements. 
 
Strong analytical mindset with attention to detail and data accuracy. 
 
Collaborative approach to problem-solving and cross-functional teamwork. 
 
Commitment to continuous learning and staying current with emerging data science technologies. 
 
Work Environment 
 
This is a fully remote position operating on a standard schedule of Monday through Friday, 8:00 AM – 5:00 PM EST. 
 
The role is structured as a contract engagement of approximately six months, with the possibility of extension based on performance and project needs. 
 
Interview Process 
 
Selected candidates will participate in a one-hour virtual panel interview as part of the evaluation process. 
 
This opportunity offers the chance to work on high-impact data science initiatives, leveraging modern tools and large-scale data environments to deliver meaningful business outcomes. 
 
About Andiamo 
 
Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies. 
 
For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms. 
 
Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com

Data

Machine learning

Data Science

Algorithm

Testing

Cloud

Python

Amazon

Data analytics

Data modeling

Support

Team collaboration

Analysis

Azure

Agile

Forecasting

Software Development

Scalability

Infrastructure

Monitoring

Communications

Statistics

Data Cleaning

Big Data

Databricks

Statistical Analysis

Data manipulation

Feature Modeling

Modelling

CI/CD

Cluster Computing

Data Pipelines

Data architecture

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