15 open jobs on The Stack list Feature engineering as a key skill. They come from 5 companies in 11 countries, and 15 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Feature engineering in its key skills. We do not guess skills from the job title.
What you'll do: You will design and maintain cross-game data marts and AI-powered workflows to support player experience and game growth. Additionally, you will collaborate with analytics teams to build scalable data tools and educate analysts on software…
What they ask for: Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience in building production-level data pipelines and familiarity with AI/ML workflows is required.
What you'll do: You will design and maintain cross-game data marts and AI-powered pipelines to support player experience and game growth. Additionally, you will collaborate with analysts to optimize SQL queries and develop scalable data tools.
What they ask for: Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience with production-level data pipelines and familiarity with generative AI tools are also required.
What you'll do: The Data Scientist will own end-to-end machine learning projects from exploration to deployment, focusing on financial crime prevention and credit risk. They will collaborate with cross-functional teams to deliver customer value while…
What they ask for: Candidates must hold a Bachelor’s or Master’s degree in a quantitative field and possess 2–4 years of practical experience in developing production-ready machine learning solutions. Proficiency in Python, SQL, and various modelling…
What you'll do: Design, develop, and optimize analytical data models and machine learning workflows to support business intelligence and predictive analytics. Collaborate with stakeholders to translate complex data findings into actionable business…
What they ask for: Requires a university degree in a quantitative field and at least 3 years of experience in data science or BI, specifically within the FX industry. Candidates must demonstrate proficiency in SQL, Python, and Power BI, along with strong…
What you'll do: You will design, build, and maintain scalable data pipelines to transform raw data into actionable insights and production-ready features. Additionally, you will collaborate with product and engineering teams to develop data products and…
What they ask for: The role requires strong software engineering fundamentals and proficiency in SQL and modern data technologies like Spark or BigQuery. Candidates should have experience in data modeling, pipeline orchestration, and the ability to translate…
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 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 strong proficiency in Python, machine learning, and statistical methods. A degree in Mathematics, Computer Science, or a related field is required, along with…
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 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: 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…
