Data Scientist Salary at Aryng Llc BETA

One of our clients is actively conducting interviews are huge possibility for selection. If interested, please share your resume along with rate range expectation best time to have a quick call to process Job Roles: Senior Data Scientist and Data Scientist Location - SFO- CA Mode - In person (3 days a week) - 2 days remote Job Summary: We are seeking a highly analytical and detail-oriented Data Scientist with expertise in sensitivity analysis to join our growing data science team. In this role, you will design, develop, and apply advanced statistical and machine learning models to assess the sensitivity of key outputs to variations in input data and assumptions. Your work will help uncover the most influential drivers of business outcomes, inform strategic decisions, and improve model robustness across the organization. Key Responsibilities: • Develop and implement sensitivity analysis frameworks for models and business processes. • Design experiments and simulations to evaluate the ef

Role : Data Scientist/Data Analyst Location : Cupertino,CA NO OPTION FOR C2C OR C2H AND 1099 W2 CONTRACT ONLY || CLOSABLE POSITION || IMMEDIATE INTERVIEWS Job Description : Should be a good Data Analyst who is strong in SQL and PySpark. Able to extract Data and do the Analysis on the data using SQL and PySpark Some knowledge on Hadoop system is good Able to prepare Tableau Dashboard to present his analysis to the Management Very good written and verbal communication On the ML side should be able to do AB testing and propensity modeling etc… But this is 20% of the work and rest is on Data Analysis The Data set and Domain is on the Fraud detection on the Finance Data. So Fraud Analysis knowledge is always requested. Note : If you are interested please share me your resumes to Sai1@vmcsofttech.com or else reach me at 4804076917.

This series A company works on personalized marketing utilizing AI and Machine Learning. By making sense of data from millions of individuals they allow businesses to create one to one campaigns, tailored to each target customers interests and habits. As a Data Scientist you will be designing models, testing their accuracy and then deploying them into production. You will also help to design AI agents that will assist customers in choosing the most relevant models for their campaigns. This role requires someone who has worked in a global scale B2b environment and is used to wrangling messy, unstructured data. Areas such as ad, rankings, growth and recommendations are a good foundation. Requirements PhD or MSc in Data Science or similar from top school 4+ years experience training and deploying ML models Solid ML framework knowledge, TensorFlow ideally then PyTorch/Jax Experience with cloud services and managing large scale datasets. This is a site-based role at their Palo Alto office.

Job Title: Data Scientist Locations: Menlo Park, CA - Onsite Duration: 05 Months to start (Possibility of extensions) Data Scientist with 6+ years of experience, particularly within A/B testing, opportunity sizing, & ML systems Must-Have Skills: 1 SQL, Python, and ML 2 Excellent Communication skills, General ability to interact with sheets 3 Maths/Stats background

Job Description Job Description Role: Data Scientist Schedule: Hybrid – Mountain View CA Duration: 6 months contract Pay Range: $90/h - $110/h on W2, DOE Job Responsibilities: Data Analysis: Collaborate with data scientists, software engineers, and statisticians to analyze product accuracy and consistency. Develop dashboards and tools for continuous monitoring and generate on-demand reports for regressions and failure analysis. Visualization: Design and implement visualization tools and dashboards for quality monitoring. Data Engineering: Build pipelines for data acquisition, cleaning, aggregation, and analysis of benchmarking and telemetry data. Collaboration: This role involves interaction with a remote team in Switzerland, requiring frequent early morning (approximately 8 am PST) meetings. Required Skills: Proficiency in Python, Pandas, and SQL. Expertise in Python visualization libraries (Altair, Seaborn, Matplotlib). Experience with data processing pipelines and visualization tool

We are currently building a Global Data Science team for a Global Infectious Disease company. We are looking for 1 Data Science Contractor to help support the project. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality and cleansing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 - 3 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python) Familiarity with Big

We are currently building a Global Data Science team for a Global Infectious Disease company. We are looking for 1 Data Science Contractor to help support the project. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality and cleansing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 - 3 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python) Familiarity with Big

We are currently building a Global Data Science team for a Global Infectious Disease company. We are looking for 1 Data Science Contractor to help support the project. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality and cleansing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 - 3 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python) Familiarity with Big