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Bachelors Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT) Masters Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. 5+ years of experience using AI/ML , data science software (e.g., Python-based tools) Proficiency in programming languages such as Python for data manipulation, analysis, and model development.
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Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment. Knowledge of data preprocessing, feature engineering, and model evaluation techniques in machine learning projects.
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Alternatively, in lieu of a bachelors degree and four (4) years of experience, Avanade will accept a masters degree, or its foreign equivalent, in Computer or Information Systems Engineering, Automation Engineering, Electronic Engineering, Robotic Engineering, or closely related field, and at least two (2) years of experience as a Senior Consultant, Data Engineer, or in a similar role in a technology or IT consulting environment.
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Bachelors degree in industrial/Organizational Psychology, Economics, HR Analytics, Human Resource Management; Masters or PhD Preferred. Coordinate with HRIS and technology partners on data mining and collection utilizing SQL, R, Python, Excel, Microstrategy, PowerBI and other tools for analysis and presentation.
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The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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Experience in Data Engineering leveraging AWS Redshift, S3, Glue, Airflow, Python, SQL and Kubernetes. Implement data pipelines using tools such as Apache Airflow, AWS Glue, Redshift, S3, Python, and Informatica Cloud.
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Data analysis tools: Python, R, SAS, PySpark, Tableau Server, PostgreSQL, SQL, Django, ArcGIS, The candidate needs to be an advanced practitioner of SQL, R, Python and be familiar with working with data in an Azure Cloud environment using DataBricks and other cloud analytics tools.
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Contribute towards advancing the AI Engineering and Data Science discipline in Ford Pro through the Community of Practice, including but not limited to driving data best practices, improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.
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You will use your business acumen, knowledge of data and AI to support key products within Pro Tech that focus on improving customer experience, increasing revenue, and improving efficiency across the business.
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Bachelors or Masters degree in a quantitative field such as Mathematics, Statistics, Computer Science, or related disciplines. Strong programming skills in languages such as Python or R for data manipulation, model development, and evaluation.
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AWS, Redshift, Apache Airflow, Glue, Python, Informatica, Snowflake, IICS, ERP, Client. Demonstrated experience in data governance, data quality management, and data security practices.
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Expertise in Jira automation, Alteryx, and Qlik Sense •Expertise in JQL and Python •Multi-dimensional reporting, data correlation, data analytics and data mining •Experience with Agile processes and methodologies.
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Sr. People Data Analyst. Execute on various aspects of the people analytics strategy using exploratory data analysis and developing or maintaining predictive models for turnover, recruiting, employee performance, compensation, learning and development, diversity and inclusion, HR operations, and employee engagement.
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Familiarity with cloud-based data storage and processing technologies for handling large datasets efficiently. Drive AI products and services end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
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bachelors degree python data jobs Title: data analyst product
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