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Information Technology / Doctorate Remote Python Data Jobs
Senior Data Scientist
advanced degree (Master's or PhD) in a quantitative field such as Statistics, Mathematics, or Data Science 3+ years of hands-on experience in data science, preferably in the FinTech or Company services industry Proficiency in statistical modeling and data...analysis using R or Python Experience with data visualization tools such as Power BI or Tableau is a plus Experience working in Databricks or similar cloud-based analytics environments is a plus
Data Scientist (Retail Pricing)
pricing expertise, including elasticity modeling and competitive pricing 4-6+ years of experience in advanced statistical modeling and machine learning 5+ years of proficiency in experimental design and analysis 5+ years of expert-level skills in Python...and SQL for data manipulation and model building
Senior Machine Learning Engineer
of machine learning solutions, ensuring efficient delivery Required Qualifications Advanced degree (Master's or PhD) in AI / Machine Learning, or 3+ years of industry experience in machine learning Strong engineering skills with expertise in R or Python..., and fluency in data manipulation and machine learning tools Proven ability to deploy ML models in production environments with tangible business impact Self-motivation and a strong sense of ownership Preferred: 5+ years of industry experience applying
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Lead Data Scientist
related field 5+ years of experience in data science and machine learning in the advertising domain Deep knowledge of digital advertising systems and measurement sciences Experience with predictive models and machine learning algorithms Proficiency in Python...and Spark for big data processing
Prompt Engineer
prompt accuracy and performance Analyze prompt outputs to maximize accuracy and reliability, while collaborating with cross-functional teams Required Qualifications Minimum of three years of experience in AI, ML, NLP, and prompt engineering Strong Python...programming skills and solid data fundamentals Experience with relational databases like MySQL or PostgreSQL Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field Ability to work flexible hours, particularly until at
Principal Data Scientist
scientist PhD preferred in Operations Research, Mathematics, Science, Engineering, Business Administration, Business Analytics, Computer Science, or related fields Experience in hiring, mentoring, and leading data scientists Strong programming skills in Python...and/or R for Data Science Deep knowledge of statistical and machine learning algorithms
AI Hospitality Tech Engineer
bottlenecks Required Qualifications Working knowledge of HTML, CSS, JavaScript, Company RESTful APIs Experience or strong interest in CRM development Company process automation Self-starter energy with a desire to own systems end-to-end Experience with Python...for automation or data modeling is a bonus Degree in Computer Science, Data Engineering, or AI is preferred but not mandatory
Principal Software Engineer for ML
essential for model training and inference Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical field 8 or more years of experience in production-level Software Development 4 or more years of experience in Python...and building scalable data pipelines 4 or more years of proven experience deploying production services to cloud platforms MS/PhD degree in a relevant field is preferred
Machine Learning Engineer
solutions align with business goals and enhance operational efficiency Required Qualifications Graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research, or equivalent experience Strong programming skills in Python...and proficiency in data manipulation (SQL, Pandas) and machine learning tools (scikit-learn, XGBoost, Keras/Tensorflow) 1-2 years of industry experience using machine learning with large datasets (preferred) Knowledge of deep learning frameworks and
Senior Data Scientist
quantitative field 5+ years of industry experience as a Data Scientist, focusing on payments, fraud detection, or risk mitigation Deep understanding of probability and statistics, including causal inference and experimental design Proficiency in SQL and Python..., with experience in data querying, manipulation, analysis, and model deployment Strong understanding of predictive modeling and customer segmentation techniques
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