1 to 25 of 29 Statistical Inference Jobs

time Staff Data Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning practice. The tech stack Our backend tech stack is based on GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the … build out data science as a team and practice at Grid What we're looking for: Data Science Expertise: Proven experience in data science, including a strong background in statistical inference, machine learning Autonomy and Initiative: Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for data products. Curiosity More ❯

Gather data from various analytical databases and sources, and implement advanced statistical methodologies to optimize American Airlines operations; Obtain, manipulate, clean, and analyze structured and unstructured data from diverse sources; Conduct exploratory analyses including hypothesis testing, statistical inference and statistical analysis (predictive and/or prescriptive); Partner with business and technical stakeholders to translate challenging retail … or service teams; Advanced MS Excel and PowerPivot skills to model large amounts of data; Data visualization and reporting on Tableau or Microsoft Power BI; Statistics and forecast modeling; Statistical and descriptive concepts and methodologies; SQL or related data querying and manipulating tool; Strong knowledge of quantitative analysis using Python; Pulling and analyzing data from complex and big data More ❯

to enhance the development and operational performance of autonomous vehicle systems. As a Data Scientist, you will define key metrics, perform deep-dive analyses, and develop machine learning and statistical models to optimize autonomy systems performance and software deployment. You'll own the full model lifecycle, from problem definition to productionization, and create model and visualization to monitor the … collect information and work on defining metrics; Perform deep-dive analysis that informs how we manage and deploy our fleet of autonomous vehicles. Design and build machine learning and statistical models that will take Nuro from vehicle testing to operating a service. Own all stages of model development: problem definition, assessment of data quality, mathematical research, productionisation, documentation, and … Requirements: MS required or PhD degree preferable in a Sciences major such as Statistics, Mathematics, Computer Science, Data Science, Operation Research or equivalent areas. Hands-on experience with standard statistical methods such as linear and logistic regression, SVM, confidence intervals, and significance testing, along with expertise in causal inference analysis. Expertise in writing custom SQL and experience with More ❯

driving customer decisions. The team leverages technology and AI to enhance, not replace, human creativity and insight. Responsibilities - Lead end-to-end execution of complex data science projects integrating statistical modelling, machine learning (ML), and deep learning (DL). - Collaborate closely with cross-functional teams (product, engineering, business stakeholders) to deliver data-driven solutions. - Design and conduct hypothesis testing … A/B and multivariate testing) and apply causal inference methodologies. - Perform exploratory data analysis, feature engineering, and develop models across traditional statistical and deep learning architectures. - Establish modelling frameworks with statistical quality control, detecting drift and decay. - Drive best practices for model explainability (e.g., SHAP/LIME) and scalable ML systems (including generative AI, NLP, CV … data science with at least 2 years leading teams. - Proven success in production deployment of ML/LLM/NLP/CV models. - Strong understanding of machine learning fundamentals, statistical inference, and model evaluation. - Advanced proficiency in SQL (e.g., PostgreSQL, ELT/ETL) and Python (PyTorch, LightGBM, Scikit-learn). - Experience with modern AI concepts: prompt engineering, embeddings More ❯

driving customer decisions. The team leverages technology and AI to enhance, not replace, human creativity and insight. Responsibilities - Lead end-to-end execution of complex data science projects integrating statistical modelling, machine learning (ML), and deep learning (DL). - Collaborate closely with cross-functional teams (product, engineering, business stakeholders) to deliver data-driven solutions. - Design and conduct hypothesis testing … A/B and multivariate testing) and apply causal inference methodologies. - Perform exploratory data analysis, feature engineering, and develop models across traditional statistical and deep learning architectures. - Establish modelling frameworks with statistical quality control, detecting drift and decay. - Drive best practices for model explainability (e.g., SHAP/LIME) and scalable ML systems (including generative AI, NLP, CV … data science with at least 2 years leading teams. - Proven success in production deployment of ML/LLM/NLP/CV models. - Strong understanding of machine learning fundamentals, statistical inference, and model evaluation. - Advanced proficiency in SQL (e.g., PostgreSQL, ELT/ETL) and Python (PyTorch, LightGBM, Scikit-learn). - Experience with modern AI concepts: prompt engineering, embeddings More ❯

graph algorithms to machine learning problems Strong experience with modern NLP techniques and transformer architectures Knowledge of evaluation metrics for NLP system performance Solid foundation in probability theory and statistical inference Experience with statistical modeling and hypothesis testing Understanding of sampling methods and experimental design LLM Systems Expertise Proven experience designing and implementing scalable LLM-powered systems More ❯

graph algorithms to machine learning problems Strong experience with modern NLP techniques and transformer architectures Knowledge of evaluation metrics for NLP system performance Solid foundation in probability theory and statistical inference Experience with statistical modeling and hypothesis testing Understanding of sampling methods and experimental design LLM Systems Expertise Proven experience designing and implementing scalable LLM-powered systems More ❯

motivated Data Scientists with extensive experience (10+ years) applying their expertise in a business environment. As a Principal Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong … statistical and coding skills, and a passion for applying these skills to help small businesses thrive. In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our … level analytical roadmaps that shape company strategy. Achieve alignment and ensure consistent analytical rigor and metric integrity across product domains. Scaled Impact: In addition to being an expert in statistical methods and driving impact through execution, you will drive frameworks for experimentation, causal analysis, and metric design that scale across multiple teams and influence org-wide decision quality. Thought More ❯

Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Senior Data Scientist to join our Pricing and Sourcing Science team. This person will leverage advanced statistical modeling and machine learning to understand short-term and longer-term pricing and sourcing dynamics at play in our marketplace. Coupled with rigorous experimentation, you will build scalable and … adaptive decision making systems that power core features of our custom manufacturing marketplace. Responsibilities: Develop and implement statistical and machine learning models to optimize pricing, lead times, and sourcing strategies. Design and evaluate experiments (A/B tests, multi-armed bandits, contextual bandits) to enable data-driven decision-making. Assess competitive pricing trends, market dynamics, and customer behavior to … related field (Master's or Ph.D. strongly preferred). Experience: 5+ years of experience in Data Science, Machine Learning, or Applied Econometrics. Proven track record developing predictive and causal inference models, preferably in pricing, marketplace, or supply chain contexts. Experience with experimental design and statistical inference in real-world business settings. Technical Skills: Proficiency in Python (pandas More ❯

Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Senior Data Scientist to join our Pricing and Sourcing Science team. This person will leverage advanced statistical modeling and machine learning to understand short-term and longer-term pricing and sourcing dynamics at play in our marketplace. Coupled with rigorous experimentation, you will build scalable and … adaptive decision making systems that power core features of our custom manufacturing marketplace. Responsibilities: Develop and implement statistical and machine learning models to optimize pricing, lead times, and sourcing strategies. Design and evaluate experiments (A/B tests, multi-armed bandits, contextual bandits) to enable data-driven decision-making. Assess competitive pricing trends, market dynamics, and customer behavior to … related field (Master's or Ph.D. strongly preferred). Experience: 5+ years of experience in Data Science, Machine Learning, or Applied Econometrics. Proven track record developing predictive and causal inference models, preferably in pricing, marketplace, or supply chain contexts. Experience with experimental design and statistical inference in real-world business settings. Technical Skills: Proficiency in Python (pandas More ❯

Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Senior Data Scientist to join our Pricing and Sourcing Science team. This person will leverage advanced statistical modeling and machine learning to understand short-term and longer-term pricing and sourcing dynamics at play in our marketplace. Coupled with rigorous experimentation, you will build scalable and … adaptive decision making systems that power core features of our custom manufacturing marketplace. Responsibilities: Develop and implement statistical and machine learning models to optimize pricing, lead times, and sourcing strategies. Design and evaluate experiments (A/B tests, multi-armed bandits, contextual bandits) to enable data-driven decision-making. Assess competitive pricing trends, market dynamics, and customer behavior to … related field (Master's or Ph.D. strongly preferred). Experience: 5+ years of experience in Data Science, Machine Learning, or Applied Econometrics. Proven track record developing predictive and causal inference models, preferably in pricing, marketplace, or supply chain contexts. Experience with experimental design and statistical inference in real-world business settings. Technical Skills: Proficiency in Python (pandas More ❯

adopted and delivering measurable business value, supporting deal team members and portfolio company executives. We’re looking for data scientists who are passionate about impact—those who bring deep statistical knowledge, thrive in fast-paced environments, and want to see their models deployed, used, and making a difference. What you will do Build and deliver AI solutions: Design and … STEM field (or equivalent experience) with hands-on expertise in a least two of applied statistics, machine learning, forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit … learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modelling workflows. Model development & deployment: Familiarity with deploying models into production environments, collaborating with engineering teams, and using tools like MLflow or Weights & Biases for experiment tracking and More ❯

adopted and delivering measurable business value, supporting deal team members and portfolio company executives. We’re looking for data scientists who are passionate about impact—those who bring deep statistical knowledge, thrive in fast-paced environments, and want to see their models deployed, used, and making a difference. What you will do Build and deliver AI solutions: Design and … STEM field (or equivalent experience) with hands-on expertise in a least two of applied statistics, machine learning, forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit … learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modelling workflows. Model development & deployment: Familiarity with deploying models into production environments, collaborating with engineering teams, and using tools like MLflow or Weights & Biases for experiment tracking and More ❯

models in Python (IE, pandas, scikit-learn, XGBoost/LightGBM, PyTorch). Strong SQL experience analyzing large-scale consumer or operational datasets. Proficiency with A/B testing and statistical inference; comfort designing pragmatic experiments. Metrics-driven development mindset with a data-first approach to problem solving. A team player who thrives in a dynamic, fast-paced environment. More ❯

means (e.g., API calls, Web scraping, file pulls) to enhance internal data and create new dimensionality to analysis Created new, insightful data derivatives from existing raw data through aggregation, statistical inference (e.g., latent variables), and/or prediction scores (e.g., propensity, LTV) Assisted digital product teams with deep feature launch analysis to uncover tactical opportunities for iterative improvement … to develop and deploy data observability automation for data products ensuring a high degree of confidence covering batched and real-time streaming data. You can leverage basic to deep statistical skills to both aggregate and enrich datasets by developing business aligned and impactful metrics, measures, and predictive features. You are adept in building and deploying data pipelines using industry … years hands on experience working in a modern cloud environment (AWS, GCP, Azure) leveraging modern data structures and services (file storage, RDMS, streaming services, ELT, etc.) 5+ years leveraging statistical or algorithmic modeling methods to answer questions and solve measurement and prediction problems. Experience working with modern datalake architectures and related services such as Databricks and/or Snowflake More ❯

visa sponsorship The Responsibilities Design and implement data pipelines to ingest, transform, and QA multi-source marketing data (paid, owned, earned, CRM, web, email, social, events, qualitative). Build statistical models (e.g., regression, classification, forecasting, clustering) to identify performance drivers, segment audiences, and predict outcomes. Develop fit-for-purpose marketing attribution and contribution approaches based on available data; quantify … an agency or in-house team. Experience with privacy-aware measurement techniques and working within regulated industries, especially life sciences. Hands-on coding experience for data wrangling, analysis, and statistical modeling, including version control and code review practices, including working familiarity with Python, R or SQL. Strong grasp of experimental design, statistical inference, and causal thinking; able More ❯

/spatial analyses from raw data to target nomination (e.g., marker/driver identification, pathway/ligand-receptor analyses, stratification, and biomarker hypotheses). Strong foundation in experimental design, statistical inference, multivariate analysis, and integration of orthogonal evidence (e.g., human genetics, proteomics, imaging). At Flagship, we recognize there is no perfect candidate. If you have some of More ❯

will both learn a lot and teach a lot as we deal with some of the trickiest problems in the active area between large deep models and fine grained statistical inference. Key Responsibilities: Algorithm Development: Design, develop, and optimize machine learning algorithms and models for various applications, such as threat detection, image recognition, natural language processing, and predictive analytics. More ❯

surface actionable insights for leadership, traders, and cross-functional teams such as Finance, HR, and Operations. You'll bring a researcher's mindset-framing hypotheses, testing ideas, and applying statistical rigor-to uncover signals that shape strategy and performance. To date, Trillium's analytics efforts have been lean but highly effective, delivering strong value through targeted reporting and analysis. … trading, or another fast-paced business setting Proficiency with SQL (e.g., PostgreSQL, MySQL) for querying and manipulating data Strong skills in Python and/or R for data analysis, statistical modeling, and visualization Experience with dashboarding/BI tools such as Tableau, Power BI, or RStudio/Posit, and project management tools such as Jira Understanding of metrics development … hypothesis testing, and statistical inference Strong communication skills-capable of translating complex data into clear business insights for all stakeholders Curiosity and intellectual independence, with the ability to thrive in a lean, flat, and high-impact team structure Location : This is a hybrid role based in NYC. Compensation and Perks The reasonably estimated salary for this role is More ❯

functional team of Product Managers, Researchers, Designers and Engineers to develop and iterate on product features and strategy Translate product objectives to data science problems and vice versa Apply statistical inference to draw rigorous conclusions from data, especially through designing and analyzing A/B tests and working on strategic insights that drive product strategy Use a combination More ❯

field, or equivalent practical experience. You have a wealth of experience helping product teams make great decisions with data. You are an experimentation expert and possess a very strong statistical inference skillset. You have solid analytical thinking. You ask the right questions and strive to see beyond the numbers to understand what an analysis represents in terms of … real-world applications. You have experience making tradeoffs between speed and accuracy. You are a SQL expert and have experience in Python or R to perform statistical analyses. You have a track record of building strong relationships with product, engineering, research, and design teammates. You have a growth mindset and aspire to continuously improve your soft and technical skills. More ❯

our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Advanced expertise in mathematical modelling, statistical inference, and agent-based modelling. Proven ability to lead teams in designing and implementing complex data models and analytics solutions. Mastery of general-purpose programming languages (Python, C# More ❯

high performance languages Experience in constructing and managing alerting and monitoring systems for data processing pipelines Exceptional abilities in systems level debugging Familiarity with advanced analytics encompassing machine learning, statistical inference, and AI. Curiosity and empathy Comfortable with tackling ambiguous problems and unblocking yourself Bonus Points Knowledge and experience with columnar database like Clickhouse. Experience productionalizing ML models More ❯

a comprehensive understanding of healthcare regulatory and compliance (e.g., HIPAA). Skilled in the application of policies and procedures. Knowledge of Business Office Standards and Recommended Practices. Mathematical Skills Statistical Mathematical Skills Ability to work with mathematical and algebraic concepts such as probability, statistical inference, and forecasting. Ability to apply and analyze concepts such as fractions, percentages More ❯

to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. Responsibilities: Use data science and machine learning principles to develop effective predictive models Write software to prepare, clean, and sample data for use in developing predictive … degree required; degree in applied math, computer science, natural sciences or engineering preferred M.S. or Ph.D. in a related field highly desired 3+ years of experience with machine learning, statistical modeling, and optimization techniques Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred) Proficient in linear algebra and statistics Familiar with scientific software principals, e.g. versioning systems, reproducibility More ❯