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Writing and optimizing SQL queries and stored procedures Data collection, cleaning, transformation, and validation Database development and management Designing and maintaining data dashboards with specialized software (e.g., Power BI and Tableau) Data visualization techniques (e.g., charts, maps, and calendars) Performing basic and advanced statistical analyses of quantitative and qualitative data Using statistical analysis software (e.g., SPSS, Stata, SAS, R, etc.
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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Delta Air Lines is excited to offer an exceptional opportunity for a dedicated and detail-oriented individual to join the Flight Operations Learning Team as a Co-Op, Data Visualization Specialist at our General Offices in Atlanta, GA.
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You'll code with machine learning tools like Python, Jupyter Notebook and Databricks to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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Texas Commission on Environmental Quality (TCEQ) is seeking an experienced HR Data Analyst and Visualization Designer to join our Human Resources team. As the HR Data Analyst and Visualization Designer, you will be responsible for collecting, analyzing, and visualizing HR data to provide valuable insights that support strategic HR initiatives.
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Proficiency with data visualization tools (D3 js, R Shiny, Looker, Streamlit, or similar). Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.
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Job Title:- Data Scientist (Remote - Boston, MA) As a Senior Data Scientist, you will collaborate with the Data Science and Machine Learning team and will create data science, machine learning, and Al solutions.
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Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new data science, machine learning, and Al technologies and tools that can boost team performance, innovation and business value.
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Familiarity with data exploration and data visualization tools like Tableau, Looker, etc. Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark.
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Collaborate with backend engineers and data engineers to integrate the frontend application seamlessly with data pipelines and workflows on top of modern data processing technologies such as Apache Spark and Databricks, to support the real-time processing and visualization of large-scale data.
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Apply data science, machine learning, and Al techniques to derive business value from the full range of internal and external data sets in a cloud environment. Translate complex data and methodology into strategic, operationally feasible insights and recommendations; automate implementation.
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Experience with Natural Language Processing (NLP), Large Language Models (IMs), and/or Recommendation Engines. Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow.
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Power BI or Tableau Integration: Work closely with the Business Intelligence team to integrate Snowflake data into Power BI and Tableau for effective data visualization and reporting.
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Expertise in multivariate statistical modelling (e.g. clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.
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