1 to 25 of 179 Pandas Jobs

causal methods (uplift modeling, DML, IV, DiD/synth control, BSTS/Bayesian time series) and experimental design . Strong software engineering: Python (pandas, numpy, scikit-learn, LightGBM/XGBoost), SQL; experience with Spark and one of AWS/GCP/Azure. Hands-on with A/B frameworks , power ...

shared team practices Mentor peers and help grow a high-trust, high-impact engineering culture Tech Stack Python 3.x with FastAPI, Pydantic, SQLAlchemy, Pandas, and NumPy Relational databases: MySQL and PostgreSQL GCP experience is a plus, but not required Modern Middleware is a plus – e.g. Pub/Sub, Memcache Docker ...

FastAPI, Node.js). Skilled in integrating ML models with databases (SQL, NoSQL) and delivering seamless user experiences through robust software engineering. Proficient in Python (pandas, scikit-learn), deep learning (PyTorch/TensorFlow/Keras), NLP/LLMs, LangChain, embeddings/vector search, and classic ML. Experienced with Snowflake-native ...

domain regulations. Required Skills & Qualifications: Proven experience developing with Streamlit in a professional environment. Strong proficiency in Python, including data manipulation and visualization libraries (Pandas, NumPy, Plotly, etc. Experience working with banking or financial datasets. Familiarity with relational and NoSQL databases, APIs, and data integration techniques. Knowledge of banking processes ...

controls to ensure full lineage and auditability of mission-critical datasets Clean, transform, and condition data using tools such as dbt , Apache NiFi , or Pandas Build and orchestrate repeatable ETL workflows using Apache Airflow , Dagster , or Prefect Develop API connectors for ingesting structured and unstructured data sources Collaborate with data ...

also open to candidates from other asset classes with genuine interest in power & gas. Strong Python skills and experience with the scientific stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooks. Solid understanding of stochastic processes, Monte Carlo simulation, and time ...

proficiency in Python, R, or Java. Experience with machine learning libraries such as TensorFlow, Keras, or Scikit-learn. Familiarity with data processing tools (e.g., Pandas, NumPy). Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure). Solid understanding of algorithms and data structures. Excellent analytical skills ...

development lifecycle, including data preprocessing, model training, and deployment. Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, Pandas, Scikit-Learn, Hugging Face). Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) for deploying AI models. Excellent problem-solving skills ...

actionable insights for trading and risk management. Document system architecture, data flows, and technical processes for transparency and reproducibility. Requirements Strong proficiency in Python (pandas, NumPy, PySpark) and ETL development. Hands-on experience with AWS services (S3, Glue, Lambda) and Databricks. Solid understanding of financial market data, particularly time-series. ...

Data Engineer: Extensive hands-on experience with AWS data services Strong programming skills in Python (including libraries such as PySpark or Pandas) Solid understanding of data modelling, warehousing and architecture design within cloud environments Experience building and managing ETL/ELT workflows and data pipelines at scale Proficiency with ...

/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice ...

conditional probabilities Passion for understanding human behavior and improving operational processes that impact real customers Technologies We Use and Teach SQL, Snowflake, etc. Python (Pandas, Numpy) Tableau, Airflow, Looker, Mode, Prefect ...

successfully from concept to production. Proven track record of managing client interactions, presenting technical solutions, and influencing strategic decisions. Expertise in Python programming (NumPy, Pandas, Scikit-learn, Keras/TensorFlow/PyTorch). Strong understanding of statistical modeling, experimental design, and hypothesis testing. Experience with cloud platforms (AWS, Azure ...

professional experience in data science or machine learning, ideally in fintech, financial services, or a B2B2C environment Strong proficiency in SQL and Python (pandas, scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) Hands-on experience with tree-based models (XGBoost, LightGBM, CatBoost) and neural networks Proficiency in notebooks (Jupyter, Colab, etc. ...

Python and SQL, with plenty of familiarity using popular libraries for machine learning (e.g. scikit-learn, XGBoost, LightGBM, PyTorch) and data manipulation (e.g. Pandas, NumPy, Polars, DuckDB, Dask). Experience applying software engineering best practices to both greenfield and brownfield development (e.g. testing, CI/CD, containerization, observability) Excellent technical ...

also open to candidates from other asset classes with genuine interest in power & gas. Strong Python skills and experience with the scientific stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooks. Solid understanding of stochastic processes, Monte Carlo simulation, and time ...

also open to candidates from other asset classes with genuine interest in power & gas. Strong Python skills and experience with the scientific stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooks. Solid understanding of stochastic processes, Monte Carlo simulation, and time ...

also open to candidates from other asset classes with genuine interest in power & gas. Strong Python skills and experience with the scientific stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooks. Solid understanding of stochastic processes, Monte Carlo simulation, and time ...

also open to candidates from other asset classes with genuine interest in power & gas. Strong Python skills and experience with the scientific stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooks. Solid understanding of stochastic processes, Monte Carlo simulation, and time ...

turn abstract business and product ideas into concrete data science and engineering solutions. Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Desire ...

turn abstract business and product ideas into concrete data science and engineering solutions. Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Desire ...

Models (GPT, Claude), Generative AI, RAG Agentic AI, CoPilot, MCPs AIML Algorithms (Regression, Classification, Decision Trees, KNN, K-Means) Python (NLTK, NumPy, Scikit-learn, Pandas) Experience building AIML solutions for test generation, prioritization, defect triage, reporting, framework migration Strong understanding of QA automation frameworks and test lifecycle SQL proficiency Agile ...

data extraction and manipulation. Experience working with large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling ...

M.S. or Ph.D. in a related field highly desired 5+ years of experience with machine learning, statistical modeling, and optimization techniques Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred) Proficient in linear algebra and statistics Familiar with scientific software principals, e.g. versioning systems, reproducibility Experience in the manufacturing ...

Computer Science, Engineering, or a related field 5+ years of experience as a Data Engineer or a similar role Strong proficiency in Python, Pandas, and SQL Experience with AWS technologies such as Lambdas, Step Functions, Redshift, S3, Athena, Glue, and Kinesis Familiarity with data cleaning, processing, and analytics of image ...