Senior Data Analytics & Machine Learning Specialist

Equiliem; New York (NY); On-site; USD 70,000 - 117,000; Full time

Benefits offered by this job

Medical Insurance

Vision & Dental Insurance

Life Insurance

Matching 401(k)

Commuter Benefits

Employee Discounts & Rewards

Payroll Payment Options

Job summary

Equiliem is seeking a Senior Data Analytics & Machine Learning Specialist in New York to design and deploy analytics, ML, and data-driven solutions. You will work across data engineering, software development, BI, and cloud platforms to build scalable analytics platforms.

The role requires 5+ years in data analytics or ML, strong SQL, and experience with ETL pipelines, dashboards, and enterprise data solutions. On-site NY location with competitive pay and benefits.

Qualifications

• Bachelor's degree in CS/DS/Engineering or related field.
• Minimum 5 years of experience in data analytics, ML, or related tech.
• Strong SQL and data pipeline development experience.

Responsibilities

• Design and implement advanced analytics and ML solutions aligned with business goals.
• Build predictive and prescriptive models to inform decisions.
• Analyze large datasets to identify trends, risks, and opportunities.
• Develop and optimize ETL processes and data pipelines.
• Create dashboards and visualizations using Power BI and Tableau.
• Translate analytical findings into actionable business recommendations.

Skills

SQL

Data Analytics

Machine Learning

ETL

AWS Cloud

Power BI

Tableau

Full-stack

Education

Bachelor's degree

Tools

Power BI

Tableau

Python

TensorFlow

Job description

Senior Data Analytics & Machine Learning Specialist
New York, NY
Pay: $70.00 - $85.00 per hour
26-06387

Job Summary

The Senior Data Analytics & Machine Learning Specialist is responsible for designing, developing, and implementing advanced analytics, machine learning, and data-driven solutions that support strategic business objectives. This role combines expertise in data engineering, machine learning, software development, business intelligence, database management, and cloud technologies to build scalable analytical platforms and actionable insights. The ideal candidate will possess strong technical depth across the data lifecycle, from data acquisition and engineering through model deployment, visualization, and infrastructure optimization.

Job Responsibilities

• Design, develop, and implement advanced analytics solutions that support business strategy and operational performance.
• Build predictive, prescriptive, and machine learning models to drive data-informed decision-making.
• Analyze large, complex datasets to identify trends, patterns, risks, and opportunities.
• Evaluate, test, deploy, and optimize machine learning algorithms and AI-driven solutions.
• Design, develop, and maintain scalable ETL processes, data pipelines, and data integration solutions.
• Integrate and consolidate data from multiple internal and external sources into centralized repositories.
• Ensure data quality, integrity, governance, and security across all analytical environments.
• Develop dashboards, reports, and visualizations using business intelligence tools such as Power BI and Tableau.
• Translate analytical findings into actionable recommendations for business and technical stakeholders.
• Design, optimize, and maintain relational databases, SQL queries, stored procedures, and data models.
• Support database administration activities and performance optimization initiatives.
• Develop and maintain front-end and back-end applications that support analytics and business processes.
• Create APIs and system integrations to support enterprise data and application environments.
• Design and support cloud-based and on-premise infrastructure for analytics and machine learning workloads.
• Leverage AWS and other cloud technologies to support scalable data storage, processing, and analytics solutions.
• Monitor and optimize system performance, reliability, scalability, and availability.
• Collaborate with cross-functional stakeholders to gather requirements and develop technical solutions.
• Create and maintain technical documentation, process documentation, and system architecture diagrams.
• Present project updates, analytical findings, and technical recommendations to technical and non-technical audiences.
• Follow established development, security governance, and compliance standards.
• Support continuous improvement initiatives related to analytics, automation, machine learning, and infrastructure.

Job Requirements

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.
• Minimum of 5 years of experience in data analytics, data engineering, machine learning, software development, or a related technical discipline.
• Strong experience developing predictive and prescriptive analytics solutions.
• Advanced proficiency in SQL and relational database management.
• Experience designing, developing, and supporting ETL processes and data pipelines.
• Hands-on experience with machine learning frameworks and AI technologies.
• Experience developing dashboards and reporting solutions using Power BI and/or Tableau.
• Full-stack development experience including front-end and back-end technologies.
• Experience working with cloud platforms, particularly AWS.
• Strong understanding of infrastructure, servers, storage environments, and database technologies.
• Experience supporting large-scale datasets and high-volume data processing environments.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent written, verbal, and presentation communication skills.
• Ability to manage multiple projects and priorities in a dynamic environment.

Education

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related field required.

Work Experience

• Minimum of 5 years of experience in data analytics, machine learning, data engineering, software development, or related technical roles.
• Experience developing and deploying machine learning and predictive analytics solutions.
• Experience designing scalable data architecture and enterprise analytics platforms.
• Experience supporting cloud-based and hybrid technology environments.
• Experience working with business intelligence, reporting, and data visualization tools.
• Experience developing enterprise applications and integration solutions preferred.

Preferred Qualifications

• Experience deploying machine learning models into production environments.
• Knowledge of cloud-native analytics, AI, and data engineering services.
• Experience with modern AI technologies, including generative AI applications.
• Familiarity with data governance, security, compliance, and data management frameworks.
• Experience supporting enterprise-scale analytics platforms and architectures.
• Experience designing scalable solutions for data-intensive applications.
• Experience with automation platforms and advanced analytics technologies.

About Equiliem

Equiliem believes in empowering success. It's our job to cultivate relationships that connect people and employers in a way that is inclusive, intelligent, and allows both to thrive.

Across the U.S., leading companies in healthcare, government, engineering, manufacturing, professional services, and energy rely on us for their workforce solutions. Our recruiting and HR services include contract and direct hire staffing, Payrolling/EOR, Independent Contractor Compliance, and Managed Services.

For almost 30 years, we've helped shape our industry. Today, we continue to research, ask questions, and continuously enhance the candidate journey and client experience.

Benefits

• Medical Insurance
• Vision & Dental Insurance
• Life Insurance
• Matching 401(k)
• Commuter Benefits
• Employee Discounts & Rewards
• Payroll Payment Options

EEO Employer

Equiliem is an equal opportunity employer. We do not discriminate or allow discrimination based on race, color, religion, creed, sex, age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Equiliem will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or [phone].