projects). Proficiency in Python, R, SQL, or similar languages for data analysis and modeling. Basic understanding of machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data collection, cleaning, and exploratory data analysis. Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Strong foundation more »
Informatica, Collibra). Technical Tools & Frameworks: Applying your Python and R skills to analyse and visualize data. Use of AI/ML frameworks (e.g. TensorFlow, PyTorch, and Scikit-learn) to build and optimize models, and leverage data visualization tools like Tableau, Power BI, and Python libraries (Matplotlib, Seaborn) to more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI) Expertise in advanced analytical techniques (e.g., descriptive statistics more »
Washington, Washington DC, United States Hybrid / WFH Options
Amgen
a related field. Additional Requirements Proficiency in programming languages such as Python, JavaScript (React, Node.js), and Java. Expertise in machine learning frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Experience with databases (SQL, NoSQL) and more »
CRM systems (preferably Salesforce ). Technical Skills : Strong experience with Salesforce CRM and tools within the Salesforce ecosystem. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proficiency in Python for developing AI models, data pipelines, and automation scripts. Expertise in SQL for querying large datasets and more »
models into secure web applications. Proficiency in programming languages such as Python, R, or Java. Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with data processing tools and platforms (e.g., SQL, Hadoop, Spark) in secure environments. Familiarity with cloud platforms (e.g., AWS more »
