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Technical Skills: Expertise in Python, R, SQL, cloud-based infrastructures (AWS, Google Cloud, Microsoft Azure), and BI tools (Power BI, Tableau, Qlik). Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Conduct exploratory data analysis in python and Databricks in order to answer questions from internal stakeholders. Work in tandem with R&D, bioinformatics, production software, and manufacturing to solve problems and create new productswith a data-first mindset.
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Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Perform data exploration using a combination of statistical programming languages (including, but not limited R, Python, SQL, SAS) and deploy predictive analytics and machine learning techniques to improve risk prediction, improve reserve, trend and financial forecasting in a manner that is actuarially sound, and enable real-time results and operational efficiencies.
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Skilled in machine learning libraries (Scikit-learn, TensorFlow API) and data visualization tools (Power BI, Tableau, R-Shiny). Strong programming skills in Python, R, and JavaScript, with experience in Ruby and R-Shiny as a plus.
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Demonstrated success in risk management experience using data science, quantitative methods, machine learning, decision optimization, Operations Research, Statistics, Applied Mathematics, Econometrics, Python, Spark, Scala, or R.
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Experience coding Python, R, SQL or other languages that could be most relevant to the field of data visualization. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Bonus points Proficient with Python/R for hands-on analysis; proficient in modern BI tooling (Chartio, Looker, Tableau, etc.) You are proficient in SQL (any dialect), and competent with Python/R for hands-on analysis.
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Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
$266,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Proficiency in data mining, processing, visualization, and statistical tools and languages such as: MATLAB; Python; R; Excel; Minitab etc. Element Science, Inc. is a medical device and digital health company focused on developing solutions at the intersection of clinical-grade wearables, machine learning algorithms, and lifesaving therapies in order to address leading causes of death and hospitalization in patients with heart disease, primarily as they transition from the hospital-to-home.
$500,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role demands a strong technical foundation (SQL, Python/R, Tableau, Statistics), a deep understanding of business metrics, A/B testing, causal inference analysis, and exceptional collaboration skills.
$264,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient in SQL (any dialect), and competent with Python/R for hands-on analysis. Bonus points: Proficient with Python/R for hands-on analysis. Discord is seeking a Senior Data Science Manager to spearhead our analytics team responsible for the Platform Ecosystem.
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Experience working with: Hadoop, Spark, Kafka, Scala, Python, R etc. This is an opportunity for a Machine Learning Engineering Manager to come in and drive Data Science and ML initiatives for the enterprise.
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Expertise with common languages Python, R, Scala, Java and a proven ability to learnnew programming languages. Collaborate across the org including Data Science, Data Engineering, Data Product andDevOps.
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Ability to use Tableau, Python, R, or Google sheets to create dashboards & data visualizations for reporting. Ability to use Python or R to work efficiently at scale with large data sets.
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