Data Scientist - USA (Remote)

COGNIFY ANALYTICS INC.
United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$109,200.0 - $120,900.0
Working hours
Regular working hours
Job source

Tech stack

A/B Testing Artificial Neural Networks Big Data Data Mining Apache Hive Statistical Hypothesis Testing Python (Programming Language) Machine Learning Natural Language Processing NumPy Recommender Systems SQL Databases
+8 more
Text Mining Feature Engineering Apache Spark Pandas Scikit Learn Information Technology Data Pipelines Unsupervised Learning

Job description

  • Own the end-to-end data science lifecycle from exploratory analysis and feature engineering to model building, validation, and production integration.
  • Apply supervised and unsupervised learning, data mining, and NLP techniques to build recommender systems that improve the user journey.
  • Extract, clean, and transform large distributed datasets by authoring optimized data pipelines using SQL, Hive, and SparkSQL.
  • Design, build, and iterate on high-signal predictive features from raw transactional, behavioral, and text data.
  • Design, execute, and analyze controlled A/B tests and experiments, translating statistical findings and metrics into actionable business recommendations.
  • Partner directly with engineering, product, and design teams to build working MVPs, align on technical requirements, and test product hypotheses.

Requirements

  • Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, Data Science, or a related quantitative field.
  • At least 4 years of professional industry experience in applied data science, statistical modeling, and machine learning.
  • Advanced proficiency in Python and standard data science libraries such as pandas, NumPy, and scikit-learn.
  • At least 4 years of hands-on experience querying and processing large-scale datasets with SQL, Hive, and Spark or SparkSQL.
  • Demonstrated track record building classification, regression, decision trees, neural networks, recommender systems, sequential pattern discovery, and applied NLP or text mining models.
  • Strong foundation in hypothesis testing, experimental design, and A/B testing analysis.
  • Clear communication skills with the ability to explain complex mathematical, statistical, and modeling concepts to both technical and non-technical stakeholders.

Benefits & conditions

  • 100% remote work flexibility within the United States.
  • Competitive base salary with comprehensive health, dental, and vision insurance coverage.
  • 401(k) retirement savings plan.
  • Flexible paid time off and company-paid holidays.

Pay: $109,200.00 - $120,900.00 per year

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