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Our data warehouse is built using tools like BigQuery, Airflow, and dbt. About the Team:The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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Proficiency in Yardi, Nexus and/or other ERP software systems is a plusProficiency in advanced data analytics tools such as PowerBi or Tableau is a plusUnderstanding of basic concepts in data base management such as Azure, SQL, et cetera is a plusBeing able to quickly master new software packages is a must.
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Reporting & InsightsProduce reporting, analyze data, and provide actionable insights across all major social platforms (including but not limited to: Facebook, Instagram, Pinterest, Tiktok, Snapchat, etc.
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The Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, and formulary decision-makers) in the assigned Therapeutic Areas (TAs.
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Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum three (3) years experience in data analytics or a directly related field.
$90,300 - $116,820 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Relevant first or post-graduate degree subjects include: environmental impact assessment, environmental economics, environmental management, environmental planning, environmental policy, environmental science, geography, social science, sustainable development.
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Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio.
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Deploy and maintain data science, machine learning and other data products using best practices in engineering. Strong experience with big data technologies such as Spark, Kafka, Kinesis, Airflow, Hadoop, Hive, Databricks, Snowflake etc.
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Bachelor's Degree, preferably with quantitative focus or a technical subject such as engineering, environmental science, et cetera. Understanding of basic concepts in data base management such as Azure, SQL, et cetera is a plus.
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Bachelor's degree in business, statistics, mathematics, economics, organizational behavior, health & safety, computer science or an equivalent combination of education, training, and experience.
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We are currently looking for instructors to teach in the following Data Science Courses: Data Science Fundamentals Introduction to Data Science Exploratory Data Analysis and Visualization Big Data Management Machine Learning These courses are held in Westwood, CA. Classes held in person meet once a week for 11 weeks.
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Collaborates with laboratory operations team to improve testing processes; this might include recommending genomic databases to pull data from to facilitate analysis of testing results or streamlining the communication between the variant science team and the lab operations/faculty teams.
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The Associate Product Manager is responsible for the product from identification of customer and market needs/wants, to concept and product development, claims and data development, supporting product launch teams, financial analysis / modeling, and related long-range portfolio management for the assigned product line(s.
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For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools.
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Experience in building data models, reports and dashboards (Power BI required, OneStream preferred). Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
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data science jobs in Los Angeles, CA
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