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Internship Computer Data Scientist Jobs in New York

Valid8 Financial, Inc.

Data Scientist

Manhattan, NY · On-site

$120 - $170/hr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or another quantitative field. Related Work Experience: 3+ years of experience in Data Science ...

Deluxe Corporation

Data Scientist

New York, NY · On-site

$85K - $90K/yr

Bachelor's degree in Computer Science, Math, Statistics, Machine Learning, Analytic, Data Science and 0 to 2 years experience. Must be 18 years of age or older Preferred Qualifications: Education:

Hang

Data Scientist

New York, NY · On-site +1

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. * 5-10+ years of proven experience as a Data Scientist or in a similar role. * Strong knowledge of ...

United Airlines

Data Scientist

Manhattan, NY · On-site

D. in a quantitative or computational field (e.g., Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or similar). * Strong hands-on capability with data science ...

MasterCard

Data Scientist

New York, NY

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field ... Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty ...

Swayable

Research Data Scientist

Manhattan, NY · On-site

The Research Data Scientist role involves conducting data science research, developing tools for ... computer science, or a related quantitative field Company : Swayable is a creative testing platform ...

S27a

Data Scientist

Manhattan, NY · On-site

$120 - $180/hr

Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. * Strong foundation in statistics, machine learning, and data analysis. * Proficiency in ...

Capgemini

Data Scientist

New York, NY · On-site

D. in a quantitative or computational field (e.g., Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or similar). * Strong hands-on capability with data science ...

Sciemo

Data Scientist

Manhattan, NY · On-site

$110 - $160/hr

ROLE As a Data Scientist, you will build the models that turn customer data into decisions ... Experience developing and validating models on real, messy data -- through internships, prior roles ...

Sciemo

Data Scientist

New York, NY · On-site

$150K - $300K/yr

ROLE As a Data Scientist, you will build the models that turn customer data into decisions ... internships, prior roles, or substantive project work. • Solid foundation in statistics and ...

Deluxe Corporation

Data Scientist

New York, NY · On-site

$85K - $90K/yr

Masters Degree in Computer Science or Statistics Experience : 1 year in Data Science Compensation The compensation range for this position is $85,000.00 - $90,000.00 annually. This position will be ...

PortPro

Data Scientist

New York, NY · Remote

PortPro is seeking an experienced Data Scientist to join our team. The ideal candidate will have a ... Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field. Our team is ...

Graphite

Data Scientist

New York, NY · On-site

$160/hr

What we're looking for Bachelor's or Master's degree in Computer Science, Data Science, or related field; At least 4 years of experience in data engineering, with a focus on building scalable data ...

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Internship Computer Data Scientist jobs near you

Data Scientist

Valid8 Financial, Inc.

Manhattan, NY • On-site

$120 - $170/hr

Other

Posted 17 days ago

Job description

We are seeking a Data Scientist to join our team. The Data Scientist will be responsible for designing, developing, evaluating, and optimizing machine learning models that solve complex business problems for our enterprise clients. This role collaborates closely with business partners, engineers, and client stakeholders to deliver scalable AI solutions while ensuring models continue to perform effectively in production environments.

What You'll Do:
  • Collaborate with business and technical teams to define machine learning objectives, success metrics, and measurable outcomes.
  • Identify, ingest, transform, and enrich structured and unstructured data for model development.
  • Engineer features from structured and text-based data, including entity extraction, normalization, embeddings, and feature generation.
  • Apply statistical and machine learning techniques including classification, regression, clustering, and deep learning models.
  • Design and execute experiments including A/B testing, hypothesis testing, causal analysis, and model benchmarking.
  • Build production-ready machine learning models using Python and Spark.
  • Design automated evaluation methodologies including benchmark datasets, acceptance tests, and promotion gates.
  • Monitor production model performance, identify model drift and degradation, and continuously improve model accuracy through retraining and optimization.
  • Develop scalable machine learning solutions that integrate with enterprise AI platforms.
  • Present methodologies, findings, and recommendations to both technical teams and executive stakeholders.
Who You Are:
  • Passionate about solving business problems through data science and artificial intelligence.
  • Experienced working with large-scale enterprise data environments.
  • Comfortable owning machine learning models throughout their lifecycle from development through production.
  • Strong analytical thinker with excellent problem-solving abilities.
  • Fast learner with attention to detail.
  • Outstanding verbal and written communication skills.
  • Able to collaborate effectively with cross-functional teams and client stakeholders.

Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or another quantitative field.

Related Work Experience: 3+ years of experience in Data Science, Machine Learning, or Advanced Analytics.

Technical Skills:
  • Advanced SQL
  • AWS SageMaker (Databricks, Azure ML, or Vertex AI experience is a plus)
  • Natural Language Processing (NLP), embeddings, entity extraction, and feature engineering
  • Statistical modeling, regression, experimental design, hypothesis testing, and drift analysis
  • Automated testing and data validation
  • Experience deploying and supporting production machine learning models
  • Git and modern software development practices

Our Purpose and Culture:

At BDIPlus, our mission is to help enterprises utilize their resources more efficiently, implement effective information management and empower them by enabling richer insights and intelligence.

We are driven by a single purpose: empower the technology transformation. We are passionate about creating foundational technology platforms for enterprise data and information management. Our employees are at the heart of the work we do at BDIPlus. We are committed to encouraging and celebrating innovation, creativity, and hard work among our team members.

Working at BDIPlus offers:

  • A diverse, fun to work with, highly intelligent and innovative team.
  • Full health and commuter benefits.
  • A competitive salary and an annual bonus.
  • Standard time off, sick leave, and time off on all national holidays.
  • An environment where creative thinking is encouraged and innovation is a driving force of everything we do.
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