Data Scientist

Valid8 Financial, Inc.; New York (NY); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health benefits

Commuter benefits

Annual bonus

Paid holidays

Job summary

Valid8 Financial, Inc. is seeking a Data Scientist to design, develop, and optimize machine learning models that solve complex business problems for enterprise clients.

You will collaborate with business partners, engineers, and client stakeholders to deliver scalable AI solutions in production environments. The ideal candidate has 3+ years in data science, experience with large-scale data, and strong skills in SQL, NLP, feature engineering, and model evaluation.

Qualifications

• Bachelor's or Master's degree in a quantitative field is required.
• 3+ years of experience in Data Science, Machine Learning, or Advanced Analytics.

Responsibilities

• Collaborate with business and technical teams to define ML objectives, success metrics, and measurable outcomes.
• Identify, ingest, transform, and enrich data for model development.
• Engineer features from structured and text data, including entity extraction and embeddings.
• Apply ML techniques including classification, regression, clustering, and deep learning models.
• Design and execute experiments including A/B testing and causal analysis.
• Build production-ready ML models using Python and Spark.
• Monitor model performance, detect drift, and retrain when needed.
• Develop scalable ML solutions that integrate with enterprise AI platforms.
• Present methodologies, findings, and recommendations to stakeholders.

Skills

Advanced SQL

NLP embeddings

Feature engineering

Experiment design

Production ML deployment

Git

Statistics

Education

Bachelor's or Master's degree in Data Science/CS/Statistics/Math/Engineering

Tools

AWS SageMaker

Databricks

Azure ML

Spark

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.