software development experience, with a proven ability to work independently and innovate. Proficiency in Python, particularly for numerical computing and machine learning Particularly numpy, pandas (both must haves) Good working knowledge of a fast language such as C/C++/Rust. Understanding of production-level system design and architecture. More ❯
to drive complex technical issues/challenges to closure Experience in one or more of the following tools/libraries: TensorFlow, Keras, PyTorch, NumPy, pandas, scikit-learn, Matplotlib Experience in one or more of the following areas: system analysis, requirements development, algorithm design, or modeling and simulation CLEARANCE: U.S. Citizenship More ❯
mentorship. 🧠 Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of More ❯
mentorship. 🧠 Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of More ❯
mentorship. 🧠 Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of More ❯
mentorship. 🧠 Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of More ❯
mentorship. 🧠 Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of More ❯
mentorship. 🧠 Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of More ❯
mentorship. 🧠 Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of More ❯
mentorship. 🧠 Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of More ❯
mentorship. 🧠 Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of More ❯
the ability to navigate ambiguity and deliver results Intermediate programming skills in Python. Python notebook expertise is strongly preferred with a strong understanding of Pandas and visualizations (Plotly) Highly proficient in SQL with data modeling experience Experience crafting data visualizations, dashboards, and analytical products Experience working with cloud technologies (AWS More ❯
a strong ability to analyze and interpret large datasets, uncovering meaningful trends and insights. You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive More ❯
of 4 years of experience in designing, developing and deploying production-level deep learning recommendation models with a proven business impact. Fluency in Python, Pandas/Dask, SQL, PyTorch or Tensorflow. Ability to write readable and maintainable code. Strong communication and storytelling skills with both technical and non-technical audiences. More ❯
Boston, Massachusetts, United States Hybrid / WFH Options
Fidelity Investments
years of experience in researching and trading futures/perps, volatility or options-based strategies. Ability to code and create scripts using Python/Pandas/SQL to build data-based tools and workflows to further systematize our approach to trading and risk management. Experience with implementation of model-based More ❯
Chicago, Illinois, United States Hybrid / WFH Options
Fidelity Investments
years of experience in researching and trading futures/perps, volatility or options-based strategies. Ability to code and create scripts using Python/Pandas/SQL to build data-based tools and workflows to further systematize our approach to trading and risk management. Experience with implementation of model-based More ❯
with significant industry or research experience in the field. Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals. Experience More ❯
Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search Index Experience using programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests, or Antigravity Experience applying complex mathematical and statistical concepts Experience applying statistical and operations research methods and tools Experience employing spreadsheets for data More ❯
pipelines, data workflows, and analytical processes. Your skills and experience 5+ years of experience in data science. Experience with data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience More ❯
as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.). The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring More ❯
e.g. by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualization technologies. Experience in the retail sector would be an added advantage. What you can expect from us We won More ❯
large-scale DT/OT efforts for avionics, communications, or C2 systems. Hands-on with test automation frameworks, instrumentation, and data-analysis tools (MATLAB, Pandas, JMP, or similar). Familiarity with MIL-STD-810/461, RCC 324/125-15, or comparable environmental and EMI/EMC standards. Desired More ❯
data analysis, modeling, and simulation. Experience working with computer vision models, tools, and systems. Strong proficiency in Python and associated data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, MLFlow). Experience with simulation tools and techniques. Solid understanding of machine learning concepts, statistical analysis, and algorithm design. Open Until More ❯
degree. Experience in building AI models/platforms including Gen AI. Experience with Python, ML libraries (such as scikit-learn, pytorch, etc), SQL, Spark, pandas and cloud technologies. Experience in designing and running live model tests. Have strong knowledge of the whole model lifecycle from exploring data to bringing machine More ❯
at minimum a Masters degree. We have multiple openings! -Exceptional academic and industry experience with Python and especially with data handling libraries such as Pandas and PyArrow -Strong background in database management solutions, familiarity with databases such as MySQL and Oracle -Large-scale data processing and implementing batch processing pipelines More ❯
