8 open jobs on The Stack list R as a key skill. They come from 5 companies in 3 countries, and 8 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names R in its key skills. We do not guess skills from the job title.
What you'll do: Build, deploy, and maintain AI/ML solutions for client projects; design data pipelines and MLOps, and collaborate with clients and internal teams to translate requirements into scalable components; ensure governance, monitoring, and…
What they ask for: Proficiency in Python and C#, hands-on experience with cloud AI services (Azure ML, AWS SageMaker, GCP Vertex AI), and ML libraries (scikit-learn, TensorFlow, PyTorch). Knowledge of model evaluation, production deployment, and securing…
What you'll do: The Data Analyst will support product teams by designing experiments, analyzing performance metrics, and driving data-driven decision-making. They will also build dashboards, educate teams on data literacy, and contribute to the…
What they ask for: Candidates should have 3+ years of experience in product or analytics roles with strong proficiency in SQL and Python or R. A solid understanding of statistical methods, A/B testing, and data visualization tools is essential for success in…
What you'll do: You will enable data-driven decision-making within the Investments team by analyzing product initiatives and measuring their impact on business outcomes. Additionally, you will build self-serve data platforms and dashboards while fostering…
What they ask for: The role requires 3+ years of experience in product or analytics, with at least 1 year specifically in the investments or wealth domain. Candidates must possess strong proficiency in SQL, Python/R, and statistical methods, including causal…
What you'll do: You will analyze large datasets to build automated reports, dashboards, and alerts that monitor enterprise publisher performance. Your work will provide actionable insights to business teams to help them support publishers and meet KPI…
What they ask for: You must have 3+ years of experience in data analytics with proficiency in SQL and Python or R. Strong business acumen and the ability to communicate effectively with stakeholders are essential for this role.
What you'll do: Analyze and evaluate machine learning model performance to identify inefficiencies and provide actionable recommendations for the Data Science team. Design and execute A/B tests while building dashboards to communicate model performance…
What they ask for: Requires a degree in a quantitative field and 5+ years of experience in data analytics, product analytics, or data science. Candidates must be proficient in SQL, Python or R, and possess a strong understanding of statistical…
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 develop and deploy advanced pricing models using SQL and Python to manage loss ratios and drive business growth. Additionally, you will collaborate with engineering teams to implement pricing strategies and identify new data…
What they ask for: Candidates must have at least 3 years of experience in a data-driven commercial role with strong proficiency in SQL and Python or R. You are expected to have expertise in building GLMs, GBMs, and other statistical models for pricing and…
What you'll do: The analyst will monitor and evaluate product initiatives to drive data-informed decision-making across business segments. They will also build dashboards, improve data literacy, and collaborate with cross-functional teams to optimize…
What they ask for: Candidates should have at least one year of experience in product or analytics with strong proficiency in SQL and Python or R. A solid understanding of statistical methods, experimentation, and data visualization tools is required.
