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Azure Data Scientist Jobs in San Mateo, California

Data Scientist Jobs
By Delart At Menlo Park, CA, United States
3+ yrs of proven experience as a Data Engineer with expertise in SQL, Tableau, Python, and Hive.
Experience in applying supervised and unsupervised learning techniques and anomaly detection methods to identify and address irregular patterns.
Experience in time series analysis to model and forecast temporal data for various applications.
Strong knowledge of data modeling, database design, and optimization techniques.
Experience in ETL principles and tools.
Strong problem-solving skills and the ability to work in a fast-paced environment.
Data Scientist Jobs
By FocusKPI, Inc. At San Bruno, CA, United States
Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop)
Strong project management skills and attend-to-detail documentation skills.
Manage and streamline data extraction process with great attention to details
3+ years of industry experience in data, analytics, and data science role
Experience with advertising, measurement, and/or digital marketing analytics
Experience with advertising technology platforms, Ad servers, DSPs, DMPs, etc.
Data Scientist Jobs
By Synthego Corporation At Redwood City, CA, United States
Excellent SQL skills: experience querying large, complex data sets
Provide advice and education in the usage and interpretation of data to business users.
3-5 years of relevant experience including applying analytics to scientific, sales, marketing, product, operations and/or financial data
Experience with scalable relational databases (eg Snowflake/Vertica//Redshift/…). Snowflake experience is a plus
Proficiency with reporting tools like Tableau, Looker, Periscope, Microstrategy etc. Tableau experience is a strong plus
Medical, dental, and vision benefits
Data Scientist, Product Jobs
By Notion At San Francisco Bay Area, United States
You have experience building predictive models, and you know how to evaluate their effectiveness.
You have experience at a B2B SaaS company.
Skills You Need to Bring:
You have expertise in SQL and at least one scripting language (ideally Python or R).
You know how to use statistical inference and experimentation to drive actionable recommendations.
You are comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet.
Data Scientist Jobs
By Rippling At San Francisco Bay Area, United States
Experience partnering closely in a SAAS setting with business partners from the Finance, Sales and Marketing teams.
Ability to actively manage and influence stakeholders through strong communication skills, both in verbal and written form.
Ruthless prioritization and time management.
Experience with causal inference and predictive modeling.
Develop and maintain forecasting models to predict key business metrics, such as ARR, user acquisition, and retention.
Be the expert in experimental design, predictive modeling, and attribution.
Data Scientist - Financial Data
By Leland Shaw LLC At San Francisco Bay Area, United States
- Manage software release cycle following the DevSecOps model.
- 7 or more years of experience with Python and other scripting languages
- Experience with financial market datasets and sources – cleaning/ merging with other datasets
- Exposure and/or experience in AL/ML toolset and models, recent advancements in Generative AI is preferable
- Good communication skills along with inter-personal skills to connect with investment professionals
- Azure experience is a nice to have. Other Cloud experience will work
Data Scientist Jobs
By Intelling Media Corp At San Carlos, CA, United States
Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
At least 1 - 2 years' of experience in quantitative analytics or data modeling
Analyze raw data: assessing quality, cleansing, structuring for downstream processing
Design accurate and scalable prediction algorithms
Collaborate with engineering team to bring analytical prototypes to production
Generate actionable insights for business improvements
Proteomics Data Scientist Jobs
By BioSpace At Redwood City, CA, United States
Strong written and oral communication skills, with demonstrated experience in cross-functional and timely communication
Minimum 5+ years experience in an academic or life-sciences industry laboratory setting
Superior Python or R skills in data analysis, statistics and data science methods. Comfortable in Jupyter/RStudio environments
Knowledge of established proteomics software pipelines, e.g. Skyline, OpenMS, MaxQuant, MSFragger and other proteomic computational tools
Effectively communicate proteomics and data-related topics to customers to help them better understand Seer technology and the data derived from it
Apply novel methods to internal and external data to demonstrate impact
Data Scientist Jobs
By Gordian Biotechnology At South San Francisco, CA, United States
Data science methods applied to large biological datasets: Experience manipulating and analyzing large biological datasets.
Genomics data: Experience analyzing genomics data (RNA-seq or other).
Perform general quality control and characterization of large single-cell genomics datasets (transcriptomic, epigenetic etc.)
Apply secondary analysis workflows to single-cell genomics datasets and visualize results
Test and implement state-of-the-art tools for genomics data analysis and visualization
Assist in developing and coding novel analysis workflows for large-scale in vivo perturbation screens
Data Scientist Iv (Biomedical)
By Ascendion At San Francisco Bay Area, United States
PhD degree in Biostatistics, Bioengineering, Electrical Engineering, Computer Science, or equivalent practical experience.
5+ years experience and/or PhD with experience working with raw sensor data and experimental study design.
Experience with sensor failure analysis using proper study design and statistical analysis.
Collect, analyze, and manage complex multimodal physiological datasets.
Experience in the domain of (bio)-signal processing, statistics, analysis, and control theory.
Experience applying advanced statistical analysis to drive real world problems (especially HW development).
Azure Data Scientist Jobs
By JRD Systems At Downey, CA, United States

Responsibilities: Possess knowledge and technical expertise in standards and technologies to support complex business analysis, solution selection, systems design, and application integration - ...

Data Scientist Jobs
By Russell Tobin At Downey, CA, United States
Location – Remote/ Downey, CA 90242
• At least five (5) years of that experience must be in a lead capacity.
• 5 years of experience in Azure Data Factory
• 5 years of experience in Databricks
• 5 years of experience in Managing Azure Resources
• 5 years of experience in automating Azure Data Resources using DataOps
Data Scientist Jobs
By Lawrence Berkeley National Laboratory At , San Francisco Bay Area $121,608 - $175,320 a year
This position is eligible for LBNL’s Employee Referral Program benefit(s).
Lawrence Berkeley National Laboratory has multiple openings for a Data Scientist in Berkeley, CA.
1. Complex quantitative modeling and analysis;
6. Energy use and life cycle cost analysis;
7. Writing technical reports; and
8. Preparing presentation materials for a non-technical audience.
Sr Data Scientist Jobs
By Coupang At Mountain View, CA, United States
Database experience with advanced SQL or SQL-like skills (Hadoop-Hive); experience researching and manipulating complex and large data sets;
3-5 years of work experience involving quantitative data analysis.
Working knowledge of data and statistical analysis (e.g. Cohort analysis, Campaign Analysis, A/B tests)
Experience with data visualization tools like Tableau
Willingness to dig-in and understand the data and to leverage creative thinking and problem-solving skills are absolute musts.
Experience with manipulating massive-scale clickstream data.
Data Scientist - Risk
By Plaid At San Francisco, CA, United States
2+ years of industry experience in a product focused Data Science role
Data engineering experience and data pipeline tooling (e.g. Airflow, DBT) experience is a plus
Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field
Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products
Identifying useful signals that can be fed into machine learning models.
Diving deep into the behavior and performance of large scale machine learning models to discover new opportunities of improvements and experimentation
Jr. Data Scientist Jobs
By PlayStation At Aliso Viejo, CA, United States

Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of ...

Data Scientist Jobs
By Link Network At Torrance, CA, United States
Strong predictive and statistical analysis and modeling skills
Insurance industry experience preferred, but not a must
PhD in Mathematics, Statistics, or related field
Machine learning modeling using Python
Ability to use cloud service and data visualization tools
Must be residing in the area at the time of application
Ecommerce Data Scientist - Usds
By TikTok At Los Angeles, CA, United States

Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, ...

Data Scientist Jobs
By Robert Half At Westwood, CA, United States

Description **** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume. You can also call my ...

Data Scientist Jobs
By PlayStation At San Diego, CA, United States
Data Scientist – Global Payments & Fraud Management
Proven experience working with optimization, statistical analysis, machine learning or text classification algorithms.
Utilize various approaches to maximize value from predictive analytics solutions.
Optimize use of developed Machine-Learning algorithms in conjunction with other aspects of decision logic (rules, other models, etc.)
Demonstrate understanding of predictive modeling methodology that detect fraud and other ecommerce risks.
Provide feedback to modelers on new features, algos, strategy, and modeling ideas.

Are you looking for a challenging and rewarding role in the field of data science? We are looking for an experienced Azure Data Scientist to join our team and help us unlock the potential of our data. You will be responsible for developing and deploying data-driven solutions to solve complex business problems. You will have the opportunity to work with cutting-edge technologies and collaborate with a diverse team of data scientists, engineers, and business professionals. If you are passionate about data science and have a proven track record of success, we want to hear from you!

Overview Azure Data Scientists are responsible for developing and deploying advanced analytics solutions on the Microsoft Azure platform. They use their expertise in data science, machine learning, and artificial intelligence to create predictive models, develop data-driven insights, and create automated solutions. Azure Data Scientists work closely with stakeholders to understand their business needs and develop solutions that meet those needs. Detailed Job Description Azure Data Scientists are responsible for developing and deploying advanced analytics solutions on the Microsoft Azure platform. They use their expertise in data science, machine learning, and artificial intelligence to create predictive models, develop data-driven insights, and create automated solutions. Azure Data Scientists work closely with stakeholders to understand their business needs and develop solutions that meet those needs. They must be able to analyze large datasets and develop models that can be used to make predictions and decisions. They must also be able to communicate their findings to stakeholders in a clear and concise manner. Azure Data Scientists must have a strong understanding of the Azure platform and its capabilities. They must be able to develop and deploy solutions on the platform, as well as troubleshoot any issues that arise. They must also be able to work with other teams to ensure that the solutions they develop are integrated into the overall architecture. Skills Required
• Expertise in data science, machine learning, and artificial intelligence
• Proficiency in programming languages such as Python, R, and SQL
• Knowledge of Azure platform and its capabilities
• Ability to analyze large datasets and develop models
• Ability to communicate findings to stakeholders
• Ability to troubleshoot and debug solutions
• Ability to work with other teams to ensure solutions are integrated
Qualifications
• Bachelor’s degree in computer science, mathematics, statistics, or a related field
• 5+ years of experience in data science, machine learning, and artificial intelligence
• Experience developing and deploying solutions on the Azure platform
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of data visualization tools such as Tableau and Power BI
• Knowledge of data engineering tools such as Azure Data Factory and Azure Data Lake
Knowledge
• Knowledge of data science, machine learning, and artificial intelligence
• Knowledge of Azure platform and its capabilities
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of data visualization tools such as Tableau and Power BI
• Knowledge of data engineering tools such