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Geospatial Data Scientist Jobs in Los Angeles, California

Data Scientist (L5), Member Product
By Netflix At Los Gatos, CA, United States
Strong statistical skills and intuition and applied experience solving problems in consumer-facing product areas.
At least four years of experience applying statistical and mathematical concepts to make decisions at scale.
Drive product innovation through robust measurement strategies across experimentation, modeling, and analytics, as well as tooling.
Develop experimentation and measurement frameworks to increase the velocity of investments and aid complex decision-making.
Expertise in SQL and statistical programming (Python and/or R).
Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnership with stakeholders.
Data Scientist Jobs
By Red Bull At Santa Monica, CA, United States
1+ years of experience working as a Data Scientist in a professional or research context
Experience with statistics, SQL, R (and popular packages), Python, and popular visualization tools such as Tableau
Master's degree in mathematics, statistics or computer science or related field, or equivalent work experience in lieu of degree
Must be fluent in English, additional language skills an advantage
All the responsibilities we'll trust you with:
Your areas of knowledge and expertise
Data Scientist Jobs
By SPAR Information Systems LLC At Calabasas, CA, United States

Hello; Title: Data Scientist with Machine Learning Location is Woodland Hills, CA Onsite from Day 1 Long Term Jd Required Skills: 7+ years' experience in data science Proficiency with data ...

Data Scientist Jobs
By UCLA Health At , Los Angeles, 90095 $26.20 - $51.39 an hour

Description Come join our exceptional Department of Neurobiology, and help lead the advancement of cutting-edge basic science research into explorations of the brain and central nervous ...

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 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 CoEAdapt Inc. At Los Angeles, CA, United States
Minimum of 4 years of experience in a data scientist role or similar.
Advanced knowledge of statistical and machine learning tools (e.g., Python, R, SQL).
Experience with Big Data technologies (e.g., Hadoop, Spark, Cassandra).
Strong problem-solving skills with an ability to work independently and in a team environment.
Excellent analytical and quantitative skills, with an ability to extract actionable insights from large and complex datasets.
Strong communication and presentation skills, with an ability to communicate complex results to technical and non-technical stakeholders.
Data Scientist Jobs
By Behavior Frontiers At El Segundo, CA, United States
Excellent organizational abilities; multi-tasking; prioritization; time management
The ideal candidate will have a working knowledge of statistics, mathematics, and data science programming languages (e.g., SQL, R, Python).
Knowledge of data science toolkits such as R, NumPy, and MatLab
Experience with big data analytics technologies such as Spark and Hadoop
Experience with data visualization tools such as D3.js, Tableau, and Power BI
Working knowledge of statistical models, SPSS, and business intelligence
Data Scientist /Ml Jobs
By Peritus Inc At Los Angeles, CA, United States
·Knowledge of MLOps principles (model deployment, monitoring, life cycle management, etc.)
·Experience using version control systems (Git strongly preferred) and working in a remote software development environment
·Bachelor’s Degree or equivalent experience in Computer Science or related field
·Experience in at least one programming language (Python strongly preferred)
·Experience using data science/machine learning technologies such as H2O or Scikit-learn (H2O preferred)
Location: Orange County, CA – 1day/week hybrid model
Data Scientist, Cheminformatics (Mdd)
By Terray Therapeutics At Monrovia, CA, United States
Proficiency in Linux environment, experience with database languages, and experience with version control practices and tools
Experience with RDKit or related cheminformatics software (Daylight, OEChem, OpenBabel, etc.)
Develop scalable, in-house tools for clustering, molecule similarity, feature generation, SAR analysis, etc.
Analyze binding data from our proprietary screening platform to identify hits and produce additional insights to guide molecular design.
Effectively summarize and communicate analysis outcomes to teams across the company
Collaborate with medicinal chemistry and molecular design to prioritize hits for resynthesis and follow-up assays
Data Scientist - Llm
By Spotter At Los Angeles, CA, United States
Experience with transfer learning, meta learning and predictive modeling.
Strong analytical and problem-solving skills and
Excellent oral and written communication skills.
Good knowledge in other deep learning models such as CNN, RNN.
You’ll learn and grow every day - from the industry, your peers and most importantly, your customer zero - the creators!
Fine-tune pre-trained language models for generative AI applications.
Data Scientist Jobs
By Expatiate Communications At Pasadena, CA, United States
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
Software tool development experience: source control (git), packaging, documentation – advantage.
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
Data Scientist, Software Programs
By Apple At Cupertino, CA, United States

Summary Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and ...

Data Scientist Jobs
By Keasis At Woodland, CA, United States
Experience on LLM, Generative AI, document extraction/chat. Mandatory.
* 7+ years' experience indatascience
* Advanced pattern recognition and predictive modeling experience
* Experience with Excel, PowerPoint, Tableau, SQL, and programming languages
Knowledge on below is desired:
Location : Woodland Hills CA 21555
Data Scientist Jobs
By CoStar Group At , San Francisco, 94111

Data Scientist CoStar Realty Information, Inc. seeks a Data Scientist to conduct economic data analysis as well as economic research and modeling. Create and execute economic analytic ...

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.
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.
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.

Are you looking for an exciting opportunity to use your geospatial expertise to make a real impact? We are looking for a Geospatial Data Scientist to join our team and help us unlock the power of geospatial data. You will be responsible for developing and implementing innovative geospatial data analysis techniques to solve complex problems. If you are passionate about geospatial data and have the skills to turn data into actionable insights, then this is the perfect job for you!

Overview:

A Geospatial Data Scientist is a professional who specializes in the analysis of geospatial data. They use their expertise in data science to develop insights and solutions from geospatial data. They are responsible for collecting, organizing, and analyzing geospatial data to identify patterns and trends. They also use their knowledge of geospatial data to develop predictive models and create visualizations.

Detailed Job Description:

A Geospatial Data Scientist is responsible for collecting, organizing, and analyzing geospatial data to identify patterns and trends. They use their expertise in data science to develop insights and solutions from geospatial data. They must be able to interpret and analyze data from various sources, including satellite imagery, aerial photography, and geographic information systems (GIS). They must be able to develop predictive models and create visualizations to present their findings. They must also be able to communicate their findings to stakeholders and other professionals.

What is Geospatial Data Scientist Job Skills Required?

• Knowledge of data science principles and techniques
• Knowledge of geospatial data and GIS
• Ability to interpret and analyze data from various sources
• Ability to develop predictive models and create visualizations
• Ability to communicate findings to stakeholders and other professionals
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of software such as ArcGIS, QGIS, and Tableau

What is Geospatial Data Scientist Job Qualifications?

• Bachelor’s degree in data science, computer science, or a related field
• Experience with data analysis and visualization
• Experience with geospatial data and GIS
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of software such as ArcGIS, QGIS, and Tableau

What is Geospatial Data Scientist Job Knowledge?

• Knowledge of data science principles and techniques
• Knowledge of geospatial data and GIS
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of software such as ArcGIS, QGIS, and Tableau

What is Geospatial Data Scientist Job Experience?

• Experience with data analysis and visualization
• Experience with geospatial data and GIS

What is Geospatial Data Scientist Job Responsibilities?

• Collect, organize, and analyze geospatial data to identify patterns and trends
• Develop insights and solutions from geospatial data
• Interpret and analyze data from various sources
• Develop predictive models and create visualizations
• Communicate findings to stakeholders and other