22 open jobs on The Stack list Statistics as a key skill. They come from 8 companies in 10 countries, and 22 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Statistics in its key skills. We do not guess skills from the job title.
What you'll do: Build, validate and monitor credit scorecards and decisioning rules using bureau, Open Banking and internal data. Design and test credit strategies, pricing tiers and limits, balancing risk, volume and margin; work with engineers to deploy…
What they ask for: 2-5 years in decision science or data science within consumer lending or regulated financial services; experience developing credit scorecards or risk models (logistic regression or gradient boosting); strong SQL skills; understanding of…
What you'll do: You will generate actionable insights through data analysis and design end-to-end A/B tests to support product decisions. Additionally, you will collaborate with cross-functional teams to define metrics and implement tracking to optimize…
What they ask for: The role requires 3+ years of experience in analytics with strong proficiency in SQL and Python. Candidates must have a deep understanding of A/B testing, statistics, and the ability to connect data insights with business goals.
What you'll do: You will work with subject matter experts to clean, analyze, and model datasets to provide practical solutions for clients. Additionally, you will contribute to prototypes and communicate findings through charts and presentations.
What they ask for: Candidates should have hands-on experience in data science through projects or internships and proficiency in Python. A relevant degree in a quantitative or social science field is required, along with strong communication skills.
What you'll do: You will analyze player behavior and design A/B tests to improve game performance and growth. Additionally, you will collaborate with product teams to turn analytical findings into actionable recommendations.
What they ask for: Candidates must have a strong quantitative background in mathematics, statistics, and A/B testing. Proficiency in Python and SQL is required, along with professional proficiency in both English and Russian.
What you'll do: You will work with subject matter experts to clean, explore, and analyze datasets while building statistical or machine learning models. Additionally, you will contribute to prototypes and communicate findings through charts and…
What they ask for: Candidates should have hands-on experience in data science through projects or internships and proficiency in Python. A relevant degree in a quantitative or social science field is required, along with a strong grounding in statistics and…
What you'll do: You will collaborate with subject matter experts to define analytical approaches and deliver data science and AI solutions for diverse client projects. This involves preparing and analyzing data, developing models, and presenting findings…
What they ask for: Candidates should have hands-on experience in Python, SQL, and statistical modeling, along with a strong understanding of machine learning and large language models. A relevant degree or equivalent practical experience in a quantitative…
What you'll do: Prepare, clean, combine, and explore datasets; develop and compare statistical or machine learning models; and contribute to prototypes, including language-model applications where appropriate. Evaluate results and limitations, document…
What they ask for: Applicants should have hands-on data science experience through work, research, an internship, or substantial projects, along with Python experience and a grounding in statistics and common machine learning methods. A relevant degree or…
What you'll do: Work with clients and subject matter experts to define analytical problems, prepare and analyse data, and develop and evaluate statistical, machine learning, forecasting, or language-model solutions. Present findings and limitations…
What they ask for: Candidates need hands-on Python and SQL experience, a sound grounding in statistics and machine learning, and practical familiarity with using large language models responsibly. They should be able to take ambiguous questions through to…
What you'll do: You will collaborate with subject matter experts to clean and analyze datasets, build statistical or machine learning models, and develop prototypes. Additionally, you will communicate findings through charts and presentations to support…
What they ask for: Candidates should have hands-on experience in data science through projects or employment, including proficiency in Python and a grounding in statistics and machine learning. A relevant degree in a quantitative or social science field is…
What you'll do: You will collaborate with subject matter experts to define analytical problems and deliver data science and AI solutions for diverse client projects. This involves preparing and analyzing data, developing models, and presenting findings to…
What they ask for: Candidates must have hands-on experience in Python, SQL, and statistical modeling, along with a strong understanding of machine learning and large language models. A relevant degree or equivalent practical experience in a quantitative…
What you'll do: You will own the machine-learning models in production that detect AI-enabled threats and analyze their performance for customers. You will also design low-latency models and collaborate with security engineers to translate new attack…
What they ask for: Candidates must have 5+ years of experience in applied machine learning or data science with models shipped to production. Proficiency in Python, PyTorch, and hands-on experience with NLP and LLM techniques is required.
What you'll do: You will own the machine-learning models in production that detect AI-enabled threats and analyze their performance for customers. You will also design low-latency models and build evaluations to turn new attack patterns into training data.
What they ask for: Candidates must have 5+ years of experience in applied machine learning or data science with models shipped to production. Strong proficiency in Python, PyTorch, and hands-on experience with NLP and LLM techniques is required.
What you'll do: You will build and evolve AI benchmarking and experimentation platforms to enable robust model evaluation. Your work will involve designing end-to-end workflows and generating business-ready insights to influence AI strategy across client…
What they ask for: The role requires strong hands-on experience in data science and LLM experimentation using structured evaluation frameworks. You must be proficient in Python and have experience deploying machine learning workloads to cloud platforms.
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 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: 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.
