Ihre Aufgaben
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Describe phenomena based on data and modeling, and help the procurement organization make data driven decisions
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Acquire the basic business data knowledge during onboarding period and continuously extend and update them with additional project experience
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Perform data engineering tasks using adequate information technologies (e.g. SQL, web scraping, etc): ETL processes and data pipelines. With skills in cloud data base technologies (e.g. Snowflake, star schema, relational databases, etc), be able to build data views ("tabular data model") and write scripts in an efficient way
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Perform efficient explanatory data analysis using advanced techniques (e.g. outliers detection algorithms, imputation methods, statistical correlations, dimension reduction techniques like PCA, etc)
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Provide actionable insights using data visualization tools (e.g. Power BI, Qlik, plotly, seaborn, etc) and/or process automation solutions (e.g. Service Now, Mendix, Power App, etc)
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Bring excellence in data science topics, delivering and maintaining accurate data models ("mathematical data model") using regression techniques, machine learning, optimization and stochastics, mainly for classification and prediction
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Develop algorithms at the right level of quality and complexity to solve business problems
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Develop solutions based on generative AI techniques and large language models
Ihr Profil
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Master in Data Science or Master in Mathematics or Master Engineering Science or Master in Physics
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In-depth understanding and operational experience in data modeling and analysis.
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Expertise in performing ETL processes and building data pipelines using technologies such as SQL, web scraping, and cloud databases (e.g., Snowflake)
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Knowledge in applying advanced analysis techniques such as outlier detection algorithms, imputation methods, and statistical correlations to explain data phenomena.
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Experience in using dimension reduction methods like PCA (Principal Component Analysis).
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Expertise in using data visualization tools such as Power BI, Qlik, Plotly, and Seaborn to create dashboards and reports for data-driven decision-making
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Experience in implementing process automation solutions (e.g., ServiceNow, Mendix, Power App) to optimize workflows and decision-making processes.
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Advanced knowledge in machine learning and data science
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Experience in developing solutions based on generative AI techniques and Large Language Models (LLMs) to address complex business problems and process automation
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Language: English fluent (C1), German optional, ]]>For a customer we are looking for a Senior Data Scientist (f/m/d) in Erlangen. Your tasks will be: Describe phenomena based on data and modeling, and help the procurement organization make data driven decisions Acquire the basic business data knowledge during onboarding period and continuously extend and update them with additional project experience Perform data engineering tasks using adequate information technologies (e.g. SQL, web scraping, etc): ETL processes and data pipelines. With skills in cloud data base technologies (e.g. Snowflake, star schema, relational databases, etc), be able to build data views ("tabular data model") and write scripts in an efficient way Perform efficient explanatory data analysis using advanced techniques (e.g. outliers detection algorithms, imputation methods, statistical correlations, dimension reduction techniques like PCA, etc) Provide actionable insights using data visualization tools (e.g. Power BI, Qlik, plotly, seaborn, etc) and/or process automation solutions (e.g. Service Now, Mendix, Power App, etc) Bring excellence in data science topics, delivering and maintaining accurate data models ("mathematical data model") using regression techniques, machine learning, optimization and stochastics, mainly for classification and prediction Develop algorithms at the right level of quality and complexity to solve business problems Develop solutions based on generative AI techniques and large language models Following Know-how is required: Master in Data Science or Master in Mathematics or Master Engineering Science or Master in Physics In-depth understanding and operational experience in data modeling and analysis. Expertise in performing ETL processes and building data pipelines using technologies such as SQL, web scraping, and cloud databases (e.g., Snowflake) Knowledge in applying advanced analysis techniques such as outlier detection algorithms, imputation methods, and statistical correlations to explain data phenomena. Experience in using dimension reduction methods like PCA (Principal Component Analysis). Expertise in using data visualization tools such as Power BI, Qlik, Plotly, and Seaborn to create dashboards and reports for data-driven decision-making Experience in implementing process automation solutions (e.g., ServiceNow, Mendix, Power App) to optimize workflows and decision-making processes. Advanced knowledge in machine learning and data science Experience in developing solutions based on generative AI techniques and Large Language Models (LLMs) to address complex business problems and process automation Language: English fluent (C1), German optional Order Type: Temporary Employment (Arbeitnehmerόberlassung) Location: Remote (40-60%) / Erlangen Start: asap Duration: 30.09.2025 (with option of contract extension) If you are interested, please let us know your salary expectation and your availability. We are looking forward to your application and a portfolio quoting
Kontakt
If you are interested, please let us know your salary expectation and your availability. We are looking forward to your application and a portfolio quoting the reference-number 3799 to resourcer@agex-it.de .
Any Questions? Call Nadezda Baldandorzhieva +49 176 427 481 65.
Our current job offers can be found via the following link: https://agex-it.de/jobs-projekte/., the reference-number 3799 to resourcer@agex-it.de . Any Questions? Call Nadezda Baldandorzhieva +49 176 427 481 65. Our current job offers can be found via the following link: https://agex-it.de/jobs-projekte/.Analysis, Application, ASAP, Automation, Basic, BI, Business, CAN, Cloud, Data, English, ETL, HTTPs, IS, Level, make, Modeling, Process, Project, Quality, Service, Skills, SQL, Star Schema, ToolsSMNSJP00046333asap30.09.2025Erlangen2024-11-29 12:15DESalesUD_3NFProjektsprache(n)UD_7Dokument liegt vor?UD_9MobilUD_10Account ManagerUD_17ResourcerUD_18NBJobbφrse DL agexITgmbhUD_19NoJobbφrse AάG/ interUD_20NoFreelance ContractUD_21NoFreelancermap AάG/festUD_22NoFreelancermap ContractUD_23NoJoinUD_24NoHomepageUD_25NoProfil verschickt - AnzahlUD_350Interviews - AnzahlUD_360FrauBaldandorzhievaNadezdanadya.baldan@agex-it.de+49 (0)30 832 157 20 23YesYesNo2FestangestelltITITITITIT3799Senior Data Scientist (f/m/d)