BI analysts also interpret their findings and provide actionable advice to help stakeholders implement solid and long-lasting solutions, including modeling of what-if scenarios. Monitoring. These professionals stay on to monitor key metrics and suggest optimization tips to enhance overall performance. ...
3+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling. Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.). Knowledge of a variety of machine learning techniques (clustering, decision tree lea...
Technical Data Foundations:Solid knowledge and prior experience in applying ML and other advanced analytical, statistical, or modeling techniques to solve real-world business problems. Experience with causal inference and expertise in statistics as a plus. Problem Solving & Creative Thinking:A strong pro...
Familiarity with NoSQL databases and data modeling techniques. Expertise with cloud data pipelines, such as Azure Data Pipeline and Data Flow. Expertise with MLOps, including experience with model deployment, monitoring, and optimization. Expertise with data lakes, including experience with ingestion, s...
and then use more advanced techniques such as data mining, predictive modeling, or machine learning to identify patterns and relationships. Business Intelligence, on the other hand, is more focused on answering specific business questions and providing insights that can be directly used for decision-...
Knowledge of modeling techniques and experience visualizing model outputs for engineers, customers and stakeholder. Demonstrated ability to translate business needs into relevant data science activities that drive business value Familiar...
5. Strong interest in using data for business insight, experience in modeling is a plus. 6. Strong desire of learning and willingness to acquire needed knowledge and skills. 7. Positive work attitude and team spirit. 胡女士本周活跃 discover·HR Generalist ...
Experience with sequence modeling techniques is strongly preferred. Experience using advanced ML topics such as deep Learning, Bandits, Probabilistic Graphical Models, Reinforcement Learning, optimization algorithms preferred. Proficiency with the following technologies and frameworks is a plus: Spark, Pytorch...
robust statistical analysis features, making it suitable for addressing complex data analysis challenges across industries such as healthcare, finance, and pharmaceuticals. Its reliability and versatility enabledata analyststo perform diverse tasks, from data management to modeling, within a single...
As a brand must focus on their target audience, choice modeling helps brands to use their data mining techniques in such a manner so that they can use their maximum efforts at customers who are likely to make a valid purchase; Choice modeling is used to identify the most critical factors th...