Top Remote Principal Data Scientist Jobs in Austin, TX
As a Principal Data Scientist for Atlassian's Community & Learning team, you will influence strategy and decision-making by understanding the role of the community in customer experience and its value to the business. You will build measurement frameworks, lead high-impact projects, and promote a measurement culture. We are looking for someone with 8+ years of data science experience and expertise in SQL, Python, and R.
Collaborate with cross-functional partners, apply quantitative analysis, develop strategies, influence roadmaps, measure product success, and communicate insights.
A Principal Data Science and Machine Learning Engineer responsible for developing production machine learning algorithms and recommendation systems. Collaborates with product managers and UX designers to enhance customer experience. Requires expertise in Python, TensorFlow, BI tools, and mentoring junior engineers.
The Senior Data Scientist at Bonterra is responsible for developing analytics and predictive models to support the capabilities in the platform. They will work closely with the team to optimize user experience and outcomes for enterprise-level software.
Partner with business leaders to address business challenges using predictive analytics. Train models, identify trends, and mentor the data scientist team. Requires strong experience in data science, business collaboration, and scientific computing with Python.
The successful candidate will be responsible for leveraging their data science background to drive compliance monitoring data analytics initiatives.
The successful candidate will be responsible for leveraging their data science background to drive compliance monitoring data analytics initiatives.
Staff Data Scientist responsible for deep analysis of customer behavior, segmentation strategies, analytical deep-dives, and creating personalized segmentation strategies. Requires 8-10+ years of experience in analytics to drive key business decisions and expertise in SQL, Hadoop, and statistical analysis techniques.
Featured Jobs
Seeking a Senior Data Scientist to work on forecasting infrastructure for artificial intelligence, drive Cloud and Infrastructure strategy, and collaborate with various departments to provide insights.
Senior Data Scientist role in marketing to grow revenue, optimize product, scale business, and launch initiatives. Utilize analytics techniques for user behavior understanding and business insights. Responsibilities include marketing measurement, quantitative modeling, customer journey analysis, and insights extraction. Requires 5+ years experience, quantitative degree, expertise in analytics, SQL, statistical analysis, and communication skills.
Senior Data Scientist role in Customer Analytics for a fast-growing company, involving analysis and strategic insights. Requires proficiency in SQL and expertise in Python/R.
Build very large, scalable platforms using cutting edge data technologies, conceptualize and own data architecture, implement data quality monitoring processes, collaborate with cross-functional teams, design and launch data models and visualizations, solve challenging data integration problems, implement security model based on privacy requirements.
As a Senior Data Scientist, you will lead technical delivery of strategic projects, develop algorithms and models, collaborate with teams, establish performance metrics, and communicate insights to stakeholders.
As a Principal Data Scientist, you will drive the experimentation practices and analyses, collaborating with business, engineering, and analytics teams, to enable trustworthy decisions at scale.
Processing, cleansing, and analyzing data, building and optimizing classifiers using machine learning, collaborating with stakeholders to provide data-driven solutions, and predicting future trends through data modeling.
Senior Data Scientist role in Marketing focusing on optimizing marketing measurement, developing quantitative models, analyzing customer behavior, and driving business growth through data-driven insights and experiments.
Restaurant365 is looking for a Sr Data Engineer to join our data warehouse team as a technical leader that enables the flow of information and analytics across the company. The Sr Data Engineer will lead the execution of the enterprise data lake, data warehouse, and analytic solutions.
Dropbox is seeking a Data Engineer to build next-generation Financial data pipelines for crucial business decisions. Responsibilities include managing data pipelines, ensuring data quality, solving integration problems, and collaborating with business and engineering teams.
Seeking a Senior Manager of Data Science to develop a world-class team, build stakeholder relationships, and drive growth through data insights. Responsibilities include driving results, breaking down projects, resilience, and coaching team members. Required skills include team management, results-driven mindset, adaptability, and technical expertise in Python, SQL, and NLP.
Seeking a Senior Data Engineer to create and own a data engineering roadmap, collaborate with product and engineering teams, and build data processing pipelines and infrastructure in support of product, analytics, and ML initiatives.
Architect data pipelines, optimize model performance, establish metrics, lead and mentor data scientists, analyze and solve problems using technology
Senior Data Scientist in Marketing at Atlassian, responsible for using data analysis to understand customer engagement and measure the success of marketing investments. Collaborate on marketing and business problems, develop strategies, and drive insights. Requires 5+ years of experience in Data Science, proficiency in SQL, Python, and R, expertise in data storytelling and visualization tools, and experience applying statistical concepts to business problems.
Support database migrations, query optimization, database tuning, define database architecture, develop data models, uphold security standards, monitor databases, establish access schemes, and write documentation. Requires Bachelor's degree in Computer Science or Data Science, 5 years of data engineering experience, and expertise in PostgreSQL databases and SQL.
As a Data Scientist I at Oscar, you will be responsible for developing models and tools to understand medical costs across networks, negotiate reimbursement for out-of-network providers, and help manage medical costs for members. You will work closely with various teams to leverage data sources and enhance healthcare reimbursement.
Building and maintaining production data pipelines for analytics, developing tooling and solutions for data practitioners, improving observability and maintainability in the data environment, creating and implementing standards for data flows, and automating processes throughout the data environment.
Top Austin, TX Companies Hiring Remote Principal Data Scientists
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