17 Data Science And Analytics jobs in Austin.

Austin

• Skills: Data Scientist, Product Analytics, PhD, data sets, quantitative analysis, experimentation, data mining, statistical approaches, cross-functional teams, product strategy
• Experience: PhD in Mathematics, Statistics, or a relevant technical field; experience with data querying languages and statistical packages.
• Type: Full Time
• Salary: $114,000/year to $171,000/year + bonus + equity + benefits

Austin

• Skills: machine learning, data analysis, healthcare data, NLP, data profiling, data visualization, statistical models, predictive insights, data cleaning, collaboration
• Experience: 5+ years hands-on experience in machine learning, statistics, and data analysis
• Type: Full time
• Salary: $135K – $165K • Offers Bonus

Austin

• Skills: forensic finance, data processing, simulation techniques, literature reviews, model design, Python, SQL, data analysis, cryptocurrencies, fraud analysis
• Experience: Prior research experience, either for independent research or as research assistant.

Austin

• Skills: data science, data analytics, Python, SQL, cloud computing, data pipelines, statistical methods, machine learning, data mining, NLP
• Experience: Currently enrolled in a PhD or Master's degree program
• Type: Internship

Austin

• Skills: predictive analytics, machine learning, data engineering, statistical models, data insights, Python, SQL, BigQuery, cross-functional collaboration, data collection
• Experience: 3+ years of data scientist experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams)
• Type: Hybrid

Austin

• Skills: data analysis, predictive models, Python, Pandas, NumPy, machine learning, SQL, regression, classification, collaboration
• Experience: 2-3 years of experience in data science
• Type: Full-time
• Salary: $60,000 - $100,000 a year

Austin

• Skills: data analysis, predictive models, machine learning, data-driven solutions, clean data, model training, data processing, communication, statistical analysis, NLP
• Experience: 3+ years post graduate
• Type: Full-time
• Salary: $125,000 - $150,000 a year

Austin

• Skills: data science, machine learning, predictive models, Generative AI, Graph Neural Networks, Python, SQL, scikit-learn, TensorFlow, MLOps
• Experience: 6+ years of data science experience
• Type: Full time

Austin

• Skills: data science, machine learning, analytics, CI/CD, AWS, Python, SQL, Bayesian modeling, data pipelines, statistical methodologies
• Experience: 4+ years of work experience in data science, machine learning or analytics roles
• Type: Full-time

Austin

• Skills: machine learning, predictive models, cash flow prediction, statistical analyses, Python, R, logistic regression, random forest, Xgboost, neural networks
• Experience: 5+ years experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning.
• Salary: $140,000-$174,000/year (in Denver, Chicago, and Atlanta); $153,000-$189,000/year (in Los Angeles); $170,000-$210,000/year (for San Francisco, New York and Seattle)

Austin

• Skills: data science, analytics, algorithms, data lake, visualizations, data analysis, healthcare data, health care, machine learning, data insights
• Experience: At least 5 years of experience with data science
• Salary: $150,000-$180,000 + equity + benefits

Austin

• Skills: Data analysis, Machine Learning, AI, Statistics, Data pipelines, Data warehouses, Python, Legal processes, User behavior, Data exploration
• Experience: 6+ years in data analysis and related fields
• Type: Full Time
• Salary: $150,000/year to $213,000/year + bonus + equity + benefits

Austin

• Skills: autonomous, defense, maritime, autonomy, intelligent platforms, analytical models, data models, maritime operations, state-of-the-art, projects

Austin

• Skills: A/B testing, causal modeling, data science, growth analytics, experimentation, marketing insights, Bayesian statistical modeling, propensity models, subscription-based DTC, OTT products
• Type: full_time
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