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Data Scientist II jobs in United States
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Mindlance · 1 day ago

Data Scientist II

Mindlance is a company seeking a Data Scientist II who will analyze and interpret large datasets using advanced statistical and machine learning techniques. The role involves collaborating with cross-functional teams, developing predictive models, and communicating insights to stakeholders.
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H1B Sponsor Likelynote

Responsibilities

Analyze and understand large amounts of data to determine suitability for use in models and then work to segment the data, create variables, build models, and test those models
Expertise in transforming business requirements into analytical models, designing algorithms, building models, developing Data Mining and Reporting Solutions that scales across massive volume of Structured and Unstructured Data
Extensive experience in creating python scripts for data integration from APIs and web scrapping to structured and unstructured databases

Qualification

Machine learning expertisePythonR proficiencyCloud computing expertiseSQLData engineeringData visualization toolsData privacy complianceEffective communication

Required

Ability to analyze and interpret large, complex datasets using advanced statistical and machine learning techniques
Collaborate effectively with cross-functional teams to solve business problems
Develop and deploy predictive models
Automate and scale analytical workflows
Clearly communicate insights to diverse stakeholders
Strong technical skills including proficiency in Python or R
Expertise with data visualization tools
Familiarity with cloud and MLOps practices
Understanding of data privacy and healthcare compliance
Excellent understanding of machine learning techniques and algorithms, such as Logistic Regression, SVM, Random Forests, Deep Learning
Analyze and understand large amounts of data to determine suitability for use in models
Work to segment the data, create variables, build models, and test those models
Expertise in transforming business requirements into analytical models
Designing algorithms, building models, developing Data Mining and Reporting Solutions that scale across massive volume of Structured and Unstructured Data
Extensive experience in creating python scripts for data integration from APIs and web scrapping to structured and unstructured databases
Expertise in cloud computing environments (e.g., AWS, Azure, GCP) for scalable data processing and deployment of models
Experience in building and optimizing deep learning models using frameworks such as TensorFlow or PyTorch
Advanced skills in SQL, databases (relational and NoSQL), and data engineering (ETL pipelines, data warehousing)
Proficiency in deploying machine learning models as APIs or services using tools like Docker, Kubernetes, or Flask
Familiarity with CI/CD pipelines and MLOps best practices for model management and reproducibility
Strong background in statistical modeling, algorithm selection, and experimental design
Experience with NLP (Natural Language Processing) techniques, text mining, and computer vision applications relevant to healthcare
Knowledge of reproducible research tools (Jupyter notebooks, Git version control)
Data security, privacy, and compliance understanding, especially relevant in healthcare and pharma

Preferred

Advanced statistical analysis and machine learning expertise
Proficiency in programming languages such as Python or R
Experience working with large datasets and data wrangling/cleaning
Effective communication skills for translating complex analyses to stakeholders
Familiarity with data visualization tools (e.g., Tableau, Plotly, Dash)

Company

Mindlance

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Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services

H1B Sponsorship

Mindlance 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
2025 (71)
2024 (53)
2023 (37)
2022 (72)
2021 (36)
2020 (40)

Funding

Current Stage
Late Stage

Leadership Team

R
Rajat Paul Dhall
Co-Founder & Managing Director
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V
Vik Kalra
Co-Founder and Managing Director
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Company data provided by crunchbase