Job Specifications
Position: Data Scientist
Location: Hybrid in New York, NY
Duration: 12 Month Contract
Only Green Card and Citizens
Mode of Interview: In person. Only 1 round
Required Skills/Experience (Skills that the successful candidate(s) must have)
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.
Additional Skills (Skills that are a plus, but not required)
Knowledge of statistical methods and experimental design.
Key Responsibilities
Advanced Analytics & Machine Learning
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.
Data Preparation & Quality
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.
Analytics, Insights & Reporting
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.
Cross-Team Collaboration
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.
_______________________
Best Regards
Mirza Azmat | Manager Talent Acquisition
Direct Number: 229-303-2013
Email: mirza.a@clevanoo.com
Clevanoo LLC
www.clevanoo.com
12864 Leopold Trail, Frisco, Texas 75035
https://www.linkedin.com/in/mirza-azmat-65b35417a/
About the Company
At Clevanoo LLC, we believe that great companies are built with great talent — and we make it our mission to connect them. Based in Frisco, TX, we’re a nimble, results-driven staffing partner that specializes in helping organizations scale quickly with vetted, high-caliber professionals across software development, infrastructure, data & analytics, and other critical tech disciplines. From contract and contract-to-hire engagements to direct placements, we take care of the sourcing, screening and matching so your team can foc...
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