15 open jobs on The Stack list pandas as a key skill. They come from 8 companies in 11 countries, and 15 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names pandas in its key skills. We do not guess skills from the job title.
What you'll do: Design, develop, and deploy AI and data science solutions across multiple client engagements, leveraging Generative AI, RAG, and semantic search. Collaborate with data engineers, architects, and stakeholders to operationalize AI solutions…
What they ask for: Strong proficiency in Python and modern data science libraries (Pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and hands-on experience delivering AI/ML in enterprise environments. Experience with Generative AI technologies, LLMs, and…
What you'll do: Lead the design, build, and governance of reusable data models and data architectures, and develop complex data pipelines (ETL/ELT). Design and optimize data lakes and data warehouses and operationalize analytics into production-ready…
What they ask for: Bachelor's or Master's degree in a technical field such as Data Science, Computer Science or Engineering; at least 5 years of experience as a Data Engineer or senior data/engineering role in a consulting or advisory capacity. Fluency in…
What you'll do: You will take ownership of the EPS Portal, managing the backend data pipelines and frontend dashboards for real-time positioning systems. The role involves monitoring customer installations, ensuring system security, and integrating with…
What they ask for: Candidates must have 3+ years of full-stack development experience with a strong command of Python, asyncio, and modern frontend frameworks like Vue. You should be a product-minded, autonomous communicator capable of working with an…
What you'll do: You will partner with engineering teams to develop actionable insights that guide improvements to the Wayve AI Driver through experimental and observational analysis. Your work involves formulating performance metrics, designing…
What they ask for: Candidates must have 3+ years of experience in a Data Science role with strong proficiency in SQL and statistical scripting languages like Python or R. You should possess a solid foundation in experimental design, statistical rigour, and…
What you'll do: You will own key parts of the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. You will also collaborate with technical and non-technical…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a relevant field like Mathematics or Computer Science. You must possess strong proficiency in Python, machine learning, and SQL, along with the…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, SQL, and machine learning, along with the ability to communicate technical…
What you'll do: The Mid Data Scientist will own the analytical and machine learning lifecycle, from data exploration and feature engineering to model development and production support. They will collaborate with cross-functional teams to translate…
What they ask for: Candidates must have 3–5 years of professional experience in data science and a degree in a relevant field like Mathematics or Computer Science. Strong proficiency in Python, SQL, and machine learning frameworks is required, along with the…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with technical and non-technical…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a relevant field like Mathematics or Computer Science. You must possess strong proficiency in Python, SQL, and machine learning, along with the…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with technical and non-technical…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, machine learning, and statistical methods, along with experience in deploying…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, machine learning, and SQL, along with the ability to communicate technical…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and deploying production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, SQL, and machine learning frameworks, along with the ability to communicate…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, SQL, and machine learning, along with the ability to communicate technical…
What you'll do: Develop and maintain Python-based backend services to process HPC job telemetry and calculate energy and carbon footprint metrics. Collaborate with the Green Algorithms team to integrate real-time monitoring and contribute to broader HPC…
What they ask for: Requires strong experience in production-grade Python, data pipelines, and time-series data management using PostgreSQL and Kafka. Candidates should be comfortable working across organizational boundaries and possess strong technical…
What you'll do: Own the analytics for the sales funnel, pipeline conversion, and GTM planning to improve forecasting and prioritization. Partner with RevOps and leadership to connect product-led growth signals to sales motions and standardize GTM metrics.
What they ask for: Requires 5+ years of GTM analytics experience in B2B SaaS with expert SQL skills and proficiency in a modern data stack (BigQuery, dbt). Must have deep experience with Salesforce and a proven ability to model sales territories, quotas, and…
What you'll do: Develop, train, and deploy machine learning models for prediction, classification, and anomaly detection. Collaborate with cross-functional teams to build data pipelines, perform statistical analysis, and support experimentation frameworks.
What they ask for: Requires 5+ years of experience with strong Python, SQL, and machine learning library proficiency. Candidates must have experience with large datasets, analytical databases, and streaming platforms like Kafka.
