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Data Scientist - Remote
modeling Build, train, and evaluate custom machine learning models for security use-cases Required Qualifications Master's degree in computer science/engineering 4-5 years of experience in data science or a related field Strong proficiency in Python...programming language Experience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn) Knowledge of machine learning algorithms and techniques
Data Engineering Manager - Remote
equivalent industry experience 10+ years of relevant data engineering experience 5+ years of management experience, including team recruitment and development Advanced experience in building ML data pipelines and expert SQL skills In-depth knowledge of Python...for data processing and experience with AWS data capabilities
Healthcare Economics Analyst - Remote
population health and clinical programs, including reporting and outcome measurement Translate research findings into actionable information to support business decisions Required Qualifications: BA/BS degree 2+ years of hands-on experience with SQL, Python..., or SAS for data analysis 2+ years of experience in the healthcare industry 2+ years of experience with data reporting and analysis
Clinical Analytics Specialist - Remote
integration issues and conduct capacity planning Required Qualifications Associate's degree in computer science, mathematics, finance or related field 2-3 years of experience in data analysis or business intelligence Experience with healthcare or medical data...preferred Proficient in SQL, Python or R for data analysis, and Excel Experience with data pipeline development and scheduling
Artificial Intelligence Architect - Remote
related field preferred 15+ years of specialized experience in Company systems required Proven success in architecting and deploying ML workflows in cloud environments Hands-on experience with ML/DL frameworks and strong programming skills in Python...Familiarity with federal data governance, security, and privacy standards
Principal AI Research Scientist - Remote
technologies and methodologies to enhance product development and customer experience Required Qualifications 7+ years of experience in Machine Learning and Predictive Modeling, with expertise in Generative AI and Agentic AI Advanced proficiency in Python...and PyTorch for data manipulation and AI/ML model training Experience in software development and collaboration across teams Advanced degree (Ph.D. or M.S.) in Statistics, Applied Mathematics, Data Science, Computer Science, or a related field Ability
Senior Data Scientist - Remote
., Python, R, SQL) and data visualization tools (e.g., PowerBI, Tableau) Experience working with cloud platforms (e.g., AWS, Azure, GCP) and version control tools such as Git Experience with machine learning and natural language processing algorithms
Social Media Analyst - Remote
manage junior analysts while creating post-campaign recaps and conducting segmentation analysis Required Qualifications 5+ years of experience in social, content, or marketing analytics, with at least 2 years in a leadership role Proficiency in SQL, Python...(or R), and data visualization tools like Tableau or Power BI Strong understanding of social and community platforms such as Reddit, YouTube, and LinkedIn Experience in translating data into insights for both technical and non-technical stakeholders
Senior Data Scientist - Remote
Statistics, Computer Science, or a related field 2+ years of experience in quantitative analysis within a consumer-focused organization Experience with statistical modeling on large data sets and SQL Proficiency in programming languages, preferably Python...Ability to interpret large data sets and work independently or in teams
Data Engineer - Remote
Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field 3-5+ years of experience in building and supporting complex data systems in cloud environments Strong programming skills in Java, Scala, or Python...Deep knowledge of distributed data processing frameworks such as Spark, Kafka, or Flink Experience with cloud services (preferably AWS) and containerized environments (Docker, Kubernetes)
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