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Data Science Manager
scalable data solutions Required Qualifications MS or PhD in Computer Science, Data Science, AI/ML, Statistics, or a related field 7+ years of experience in data science roles, with at least 3 years in a leadership position Strong proficiency in Python..., SQL, and ML frameworks like TensorFlow or PyTorch Experience with big data technologies and cloud platforms such as AWS or GCP Proven track record of deploying machine learning models at scale
Senior Clinical Bioinformatics Scientist
Master's degree with 6 years Company experience in Bioinformatics or related discipline, OR PhD with 3 years experience, OR Bachelor's degree with 9 years Company experience Strong knowledge Company genetics and experience with NGS data analysis Proficiency in Python..., SQL, and Jupyter, along with experience in Docker and Nextflow Experience with challenging genetic regions, such as short tandem repeats or high homology genes Familiarity with common NGS alignment, variant calling, and visualization tools
Database Engineer
Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using SQL/Python Architect and orchestrate modular, traceable data workflows with modern frameworks Assist in building and maintaining cloud-native database management systems...Citizenship required and ability to obtain a T5/SSBI federally adjudicated clearance 5 years of experience with a BS/BA; 3 years with an MS/MA; 0 years with a PhD Proficiency in SQL/Python for ETL workflows and orchestration tools Familiarity with
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AI Scientist
with large-scale Transformers and Graph Neural Nets 2+ years of experience on machine learning teams, ideally in a start-up environment 4+ years of ML research experience in industry or academia, with strong familiarity with PyTorch Experience with Python...and working in a Linux/UNIX environment
Senior Data Scientist
., R, Python) and database languages (e.g., SQL) Experience with generative AI and advanced analytics aligned with business objectives Hands-on expertise in implementing Retrieval-Augmented Generation (RAG) pipelines Deep understanding of modeling
Data Scientist, Marketing
Marketing team to define initiatives and experiments for marketing efficiency Requirements Master's or PhD in Computer Science, Statistics, Operations Research, or Natural Sciences with 4-8+ years of experience as a Data Scientist Proficiency in Python...and SQL Strong foundation in practical Statistics and machine learning Strong mathematical and software engineering skills Experience in a Marketing facing role preferred, but not required
Data Scientist
hands-on experience in data science, preferably in FinTech or Company services Advanced degree (master's or PhD) in a quantitative field such as Statistics, Mathematics, or Data Science Proficiency in statistical modeling and data analysis using R or Python..., along with SQL experience Experience in building predictive models using statistical/machine learning techniques Ability to work collaboratively with various departments to understand business context and solve problems
Senior Data Scientist
teams Lead the design and interpretation of A/B tests and collaborate to improve data infrastructure Required Qualifications Bachelor's degree with 6+ years or Master's/PhD with 4+ years of experience in a quantitative field Advanced proficiency in SQL...and Python, with experience in relevant libraries Expertise in experimental design, causal inference, and applied statistics Proven experience with data visualization tools to create impactful visual stories Experience with data pipeline architecture
Data Scientist
/PhD) in statistics, computer science, engineering, or a related technical field Expert knowledge in programming languages such as Python and SQL Solid understanding of coding best practices and model documentation Ability to work independently in
Staff Machine Learning Engineer
degree with 10+ years of relevant work experience in quantitative disciplines Strong experience in AI and ML within the financial technology or service industry Proven track record in building and deploying machine learning models Proficiency in Python...and SQL Experience with AWS cloud services, particularly SageMaker for model development and deployment
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