Randstad Digital Americas · 7 hours ago
Databricks Machine Learning Analyst
New York, NY
Contract
Onsite
Senior Level
$55/hr - $58/hr
7+ years expRandstad Digital Americas is seeking a Databricks Machine Learning Analyst to design and maintain data systems and databases, utilizing statistical tools to interpret data sets for predictive analytics. The role involves developing and optimizing machine learning models, preparing data for analysis, and collaborating with various teams to ensure data quality and effective reporting.
Information Technology & Services
Responsibilities
Design, develop, and optimize machine learning models (forecasting, classification, clustering)
Apply data mining techniques to uncover patterns and insights in large datasets
Perform feature engineering, model validation, and performance tuning
Explore and deploy modern AI and ML approaches to enhance automation and analytics
Prepare structured and unstructured data for modeling and advanced analysis
Develop scripts and tools for data cleansing, validation, and enrichment
Collaborate with Data Engineering to maintain efficient data pipelines
Identify data quality issues and propose remediation
Conduct deep-dive analyses to identify trends and improvement opportunities
Communicate complex findings in clear, concise ways to technical and non-technical stakeholders
Support the development of dashboards, metrics, and analytical solutions
Work with architects, engineers, and analysts to define analytical requirements
Contribute to conceptual data model design and workflow optimization
Promote best practices in machine learning, analytics, and data governance
Qualification
Required
A Bachelor's Degree in Computer Science or related field with at least 3-5 years' work experience in an enterprise IT environment
Advanced SQL
Azure Databricks Data Engineer Professional Certificate
full-stack Python
Generative AI
Knowledge of statistical modeling and machine learning concepts
Machine Learning Operations
Power BI Dashboards
python Pyspark programming
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field
Strong experience in machine learning algorithms, predictive modeling, and data mining
Proficiency in Python (required) for data science workloads
Strong SQL (required) Knowledge And Experience With Relational Databases
Proficiency in PySpark(required) for data science workloads
Minimum 3 years of experience with data visualization tools such as Power BI, Dax Queries, and best practices
Experience with Azure Databricks, Oracle, and modern data science libraries (e.g., scikit-learn, pandas, NumPy)
Experience with GenAI and large language models
Ability to interpret complex datasets and produce actionable insights
Must know how to analyze the root cause of dashboard errors
Have experience in ML Ops and have strong coding background
Have experience with Natural Language Processing (NLP)
Knowledge or experience with A/B Testing
Working knowledge of designing, training, and implementing machine learning models
Familiarity with cloud-based infrastructure
Excellent communication and problem-solving skills
7 or more years of experience in data science and machine learning engineering
Preferred
Google Cloud BigQuery, Google Cloud Experience
Data Analyst w/ ML Experience
Knowledge of statistical methods and experimental design
Benefits
Medical
Prescription
Dental
Vision
AD&D
Life insurance offerings
Short-term disability
401K plan
Company
Randstad Digital Americas
Randstad Digital is a trusted digital enablement partner that facilitates accelerated transformation for businesses by providing global talent, capacity, and solutions across specialized domains.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Graig Paglieri
CEO, Randstad Digital Americas
Pascal de Hesselle
SVP, Executive Client Partner - Technology, Media & Telecom
Company data provided by crunchbase