Senior Data Scientist

marketamerica; Greensboro (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

Market America is seeking a Senior Data Scientist to perform statistical analysis of A/B tests and build ranking models for search results and personalized recommendations. You will develop category classifiers and text embeddings, fine-tune models, and support production deployment with MLOps practices.

You will collaborate with search and data engineering teams, write Python/R code, and mentor junior staff.

Qualifications

• Bachelor’s degree in CS, Analytics, or related field.
• 5+ years of experience in data science or related role.
• Experience with ML stack and modern frameworks.

Responsibilities

• Perform statistical analysis of A/B tests and build ML ranking models.
• Develop category classifiers and text embeddings for search and recommendations.
• Own end-to-end development from design to production deployment and monitoring.
• Collaborate across search, data engineering, marketing, and analytics teams.
• Mentor junior team members and participate in code reviews and on-call rotations.

Skills

ML Modeling

A/B Testing

Stakeholder comms

Mentoring

Code reviews

Problem solving

Debugging

Education

Bachelor’s degree in CS/Analytics

Tools

PyTorch

TensorFlow

Scikit-learn

Pandas

Python

R

Deep Learning

SQL

AWS Athena

BigQuery

Google Analytics

Transformers

Encoders

ANN/KNN

Job description

Position: Senior Data Scientist

Work Location: 1302 Pleasant Ridge Rd., Greensboro,

JOB DESCRIPTION

Perform statistical analysis of a/b tests and build machine learning ranking models for search result ranking and personalized recommendations. Build models for category classifiers in predicting categories for a product or search keyword, fine tune out of box models such as word2vec or Bert, text embedding, customer segmentations models, and help support various business decision making process. Complete ownership from requirements, solution design, development, production launch and post launch production support. Work through all phases of development including data analysis, model prototyping, model evaluation (offline/online), training data set, automation and maintenance. Participate in code reviews and regular on-call rotations. Collaborate with other teams including search and data engineering, web and marketing analysts, data analyst, project managers, system team and other contractors/consultants. Write code in Python/R using various statistical techniques and machine learning models, maintain all the code in repository such as Git/Bitbucket. Hands on development and deliver the work in sprint cycle. Develop visualization of data with tools such as Jupyter notebooks and integrations with Tableau. A/B test evaluation, share the findings with the team. Communicate summarized results to technical and non-technical stakeholders to help them make decision. Work with search engineers and data engineers in integrating ML models, analytics pipeline, work with ML Engineers/Data Engineers in deploying models to production, participate in MLOps processes. Work with stakeholders throughout the organization to identify opportunities for leveraging machine learning techniques across other business verticals. Mentor Jr. team members, define architecture, code review.

REQUIREMENTS

Must possess a Bachelor’s degree in Computer Science, Business Analytics, or a closely related degree and 5 years of experience in the job offered or related role.

Must possess experience with:

• (i) Machine learning Tech Stack;
• (ii) PyTorch;
• (iii) TensorFlow;
• (iv) Scikit-learn;
• (v) Pandas;
• (vi) Python R;
• (vii) Deep Learning frameworks;
• (viii) Database SQL queries;
• (ix) AWS Athena;
• (x) BigQuery and Google Analytics tagging and integration;
• (xi) ML models for information retrieval algorithms;
• (xii) Transformers and encoders;
• (xiii) ANN/KNN;
• and (xiv) Programming skills, statistical techniques, clustering techniques, predictive modeling, AI/ML/NLP, architecture diagramming, and problem solving and debugging skills.