1 to 25 of 1,409 Algorithms Jobs

UDTFs, Tasks/Streams). Competent in data engineering (SQL, ETL/pipelines, Spark/PySpark) and handling large structured/unstructured datasets. Strong understanding of AI/ML algorithms, application architecture, and design patterns. Excellent problem-solving, analytical, communication, and collaboration skills. Preferred knowledge, skills and experience: Financial services domain experience (fraud risk, AML, underwriting, or commercial/treasury More ❯

such as GBQ, Snowflake, or Redshift. Strong understanding of statistical techniques (e.g., Regression, A/B Testing, Causal Inference) and their application in business contexts. Familiarity with machine learning algorithms, natural language processing (NLP), and advanced analytics techniques. Communication: Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders. Problem-Solving : Strong analytical More ❯

complex data sets and derive actionable insights. PREFERRED EXPERIENCE: 3+ years of combined experience in machine learning model development, data analysis, and statistical modeling. Strong understanding of machine learning algorithms, model evaluation metrics, optimization techniques, and statistical analysis techniques. Demonstrated ability to implement, validate, and improve supervised and unsupervised learning models. Excellent knowledge of Excel, Python, SQL, and database systems. More ❯

of experience OR PhD with industry or research experience in relevant areas Preferred Qualifications Advanced proficiency in Python and C++ Strong knowledge of object-oriented design, data structures, and algorithms Experience in real-time or embedded software development Familiarity with network communication protocols and hardware software integration Hands-on experience with ROS, Linux-based development, and/or real-time More ❯

in Computer Science, Math, Engineering, or related field (Master's preferred) with 0-5+ years of experience (depending on the level) Strong understanding of data structures, data modeling, algorithms, and software architecture. Proficient in probability, statistics, and algorithm development. Hands-on experience with ML and deep learning libraries (Scikit Learn, Keras, TensorFlow, PyTorch, Theano, DyLib). (Bonus) Experience with More ❯

a spectrum of capital market products. Required Qualifications Bachelor's degree in computer science, Engineering, or related field, or equivalent work experience Strong background in Computer Science fundamentals including algorithms, data structures, computational complexity. Non-Technical Skills Excellent communication skills and teamwork is a must Experience collaborating efficiently within a global team. Demonstrable experience in fast-paced environments, supporting flexible More ❯

building streaming data processing and ingestion pipelines Experience building distributed data processing systems which handle a high volume of client queries Strong knowledge of object oriented programming, data structures, algorithms and design patterns Prior experience building systems used by multiple technical and non-technical teams Over 6 years' experience in Financial industry About Goldman Sachs At Goldman Sachs, we commit More ❯

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft's products More ❯

experienced Senior Applied Machine Learning Engineer to drive the development and integration of AI-driven solutions within our platform. This role involves leveraging existing AI models and creating custom algorithms to optimize procurement processes, enhance decision-making, and deliver actionable insights for our users. Key Responsibilities: Design, develop, and deploy machine learning models tailored to solving challenges faced by many More ❯

to deploy models into production at scale. Partner with product teams to design experiments (A/B testing) and evaluate feature effectiveness. Research and implement state-of-the-art algorithms in AI/ML relevant to RegTech (e.g., anomaly detection, NLP, computer vision). Monitor, evaluate, and continuously improve models for performance, fairness, and compliance. Prepare clear documentation, dashboards, and More ❯

to deploy models into production at scale. Partner with product teams to design experiments (A/B testing) and evaluate feature effectiveness. Research and implement state-of-the-art algorithms in AI/ML relevant to RegTech (e.g., anomaly detection, NLP, computer vision). Monitor, evaluate, and continuously improve models for performance, fairness, and compliance. Prepare clear documentation, dashboards, and More ❯

to deploy models into production at scale. Partner with product teams to design experiments (A/B testing) and evaluate feature effectiveness. Research and implement state-of-the-art algorithms in AI/ML relevant to RegTech (e.g., anomaly detection, NLP, computer vision). Monitor, evaluate, and continuously improve models for performance, fairness, and compliance. Prepare clear documentation, dashboards, and More ❯

learn, TensorFlow, or PyTorch. Strong experience with SQL and working knowledge of data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake. Expertise in statistical analysis, machine learning algorithms, and model evaluation techniques. Familiarity with data pipeline tools and frameworks such as Airflow, DBT, or similar. Experience working with visualization tools like Tableau or Looker to translate insights into More ❯

Databricks for ML development and deployment. Hands-on experience with MLOps, CI/CD pipelines, and cloud-based deployment (AWS, Azure, or GCP). Solid understanding of data structures, algorithms, and software engineering principles. Experience working with large-scale datasets and distributed computing frameworks. Experience with deploying Retrieval-Augmented Generation (RAG) pipelines to production. Excellent analytical and problem-solving skills. More ❯

You combine academic rigor with practical engineering skills and exceptional client communication abilities. You will work end-to-end from project initiation through client delivery, comfortable both building sophisticated algorithms and presenting findings directly to clients. You excel at automating repetitive tasks and developing reusable frameworks that scale across multiple engagements. You should be comfortable implementing cutting-edge research while More ❯

have initial experience in data analysis in a marketing context. Excellent programming skills in Python, SQL, and data modeling. Good knowledge and mastery of Data Science and Machine Learning algorithms (supervised methods, unsupervised methods, clustering ). Strong interest in marketing challenges and a good understanding of the luxury, FMCG, energy, banking, and insurance sectors. Excellent communication and project management skills More ❯

reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - Requires strong coding skills with emphasis on logical thinking, data structures, algorithms, and problem-solving capabilities. - Experience with distributed (multi-tiered) systems architecture - Experience performing live system and core analysis using GDB Amazon is an equal opportunity employer and does not discriminate More ❯

Keras, or Scikit-learn. Familiarity with data processing tools (e.g., Pandas, NumPy). Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure). Solid understanding of algorithms and data structures. Excellent analytical skills and problem-solving capability. Strong communication skills to work effectively with team members and stakeholders. About Us We specialize in Digital, ERP, and larger More ❯

Keras, or Scikit-learn. Familiarity with data processing tools (e.g., Pandas, NumPy). Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure). Solid understanding of algorithms and data structures. Excellent analytical skills and problem-solving capability. Strong communication skills to work effectively with team members and stakeholders. About Us We specialize in Digital, ERP, and larger More ❯

Keras, or Scikit-learn. Familiarity with data processing tools (e.g., Pandas, NumPy). Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure). Solid understanding of algorithms and data structures. Excellent analytical skills and problem-solving capability. Strong communication skills to work effectively with team members and stakeholders. About Us We specialize in Digital, ERP, and larger More ❯

Keras, or Scikit-learn. Familiarity with data processing tools (e.g., Pandas, NumPy). Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure). Solid understanding of algorithms and data structures. Excellent analytical skills and problem-solving capability. Strong communication skills to work effectively with team members and stakeholders. About Us We specialize in Digital, ERP, and larger More ❯

code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON) Review large amounts of information to discover trends and patterns Create predictive models and machine-learning algorithms Modify and combine different models through ensemble modeling Organize and present information using data visualization techniques Develop and suggest solutions and strategies to business challenges Work together with engineering and More ❯

You will work closely with data scientists, engineers, and product managers to design, implement, and deploy scalable artificial intelligence solutions. The Main Course - Responsibilities • Design and develop machine learning algorithms and models to solve complex problems and improve user experiences. • Collaborate with data engineers to build data and model pipelines. • Conduct data exploration and feature engineering to improve model accuracy More ❯

data products. We're hiring a Data Scientist to support our Sports Data Models Duties: Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products. Develop contextualized feature sets using sports specific domain knowledge. Contribute to all stages of model development, from creating proof-of-concepts More ❯

structuring processes for advanced model development. Leading investigations into patterns, trends, and anomalies within complex datasets, guiding the team to uncover key insights. Designing, building, and enhancing machine learning algorithms, providing technical leadership and guidance to junior data scientists. Communicating complex findings to both technical and non-technical audiences, presenting actionable recommendations with clarity and authority. Writing and optimising complex More ❯