10 open jobs on The Stack list NumPy as a key skill. They come from 3 companies in 9 countries, and 10 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names NumPy 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: 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 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…