Soni · 18 hours ago
Data Scientist – ML and Advanced Analytics (AI Studio)
New York, NY
Full-time
Onsite
Mid, Senior Level
$135K/yr - $150K/yr
3+ years expSoni is seeking a Data Scientist with deep expertise in machine learning and advanced analytics. The role involves designing, building, and deploying machine learning models while collaborating with cross-functional teams to drive data-driven outcomes across enterprise platforms.
Recruiting
Responsibilities
Lead end-to-end analytics and machine learning initiatives, including scoping use cases, guiding junior data scientists, and delivering production-ready solutions
Perform exploratory data analysis, data preparation, feature engineering, modeling, validation, and presentation of insights and recommendations
Design and implement predictive and descriptive models using advanced statistical, machine learning, and AI techniques to address business objectives
Apply a range of ML approaches such as regression, classification, clustering, tree-based models, ensemble methods, and neural networks, understanding their real-world trade-offs
Conduct data wrangling, matching, and ETL across diverse data sources, ensuring data quality and readiness for modeling and analysis
Identify source systems, perform data quality assessments, and implement validation checks during both development and production phases
Package, deploy, and operationalize models in collaboration with data engineering and MLOps teams, ensuring scalability, reliability, and maintainability
Translate analytical findings into clear, compelling narratives through data visualization, written deliverables, and presentations for technical and non-technical stakeholders
Partner with stakeholders across the organization to uncover opportunities where data and machine learning can improve decision-making, automation, and customer or operational outcomes
Propose innovative analytical approaches and new ways of framing problems using data mining, visualization, and experimentation
Contribute to the development and standardization of data science tools, frameworks, processes, and best practices
Stay current with emerging trends, techniques, and technologies in machine learning and analytics through ongoing learning and industry engagement
Qualification
Required
Advanced degree in Statistics, Computer Science, Engineering, Applied Mathematics, or a related field, with experience commensurate to degree level
3+ years of hands-on experience developing, validating, and deploying machine learning models in applied settings
Strong foundation in probability, statistics, experimental design, and statistical modeling
Proficiency in Python and experience with common data science and ML libraries (e.g., pandas, NumPy, scikit-learn or similar)
Experience working with a variety of machine learning techniques, including supervised and unsupervised methods, and understanding their practical strengths and limitations
Hands-on experience with data wrangling techniques, including fuzzy matching, text processing, and working with large or distributed datasets
Familiarity with core software engineering and data science best practices such as version control, testing, logging, and reproducibility
Proven analytical and problem-solving skills with a high degree of accuracy and attention to detail
Preferred
Prior experience in regulated industries such as insurance or financial services is a plus
Company
Soni
Soni is a premier staffing & recruitment company that is disrupting the human capital management space.
201-500 employees
H1B Sponsorship
Soni has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
Funding
Current Stage
Growth StageLeadership Team
Sid Soni
Founder and CEO
Company data provided by crunchbase