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As a Senior Data Analyst, Marketing Data Science at Dow Jones, you will use data to identify trends in subscription activity, both in terms of new subscriber acquisition and existing subscriber engagement.
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About the Opportunity This internship offers a software engineering, data science, computer science, bioinformatics, or plant breeding student the unique opportunity to explore working with a highly collaborative agricultural Research and Development group focused on breeding berries.
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Master’s degree from an accredited university in fields such as outcomes research, epidemiology, biostatistics, data science, predictive analytics with 3 years relevant work experience is required; a doctoral degree (PhD, DrPH, ScD) is preferred.
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Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace. Background in data science, mathematics, actuarial science, or engineering.
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In addition to your existing people analytics work experience, this role will combine your skills in psychology, data analytics and visualisation, to help create a more effective workplace. Strength in data analytics and visualization (Looker Studio, Tableau, etc.
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Support analytics and data mining in a cross-disciplinary team of organisational psychologists, web front end engineers, back end engineers and statistics / analytics experts to help us build a new definition for the 21st century digital workplace.
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Data Science: Experience managing or applying more sophisticated advanced analytics/statistics using code. Data Visualization: Develop advanced Dashboards in visualization tools such as Tableau/QlikView/Looker.
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Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, R, etc), and databases (SQL, etc) Design and conduct research into trends shaping talent science and remote work.
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Collaborate with stakeholder teams (ex., engineering, information systems, etc) to improve the data and tool ecosystem supporting our digital workplace. Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes.
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Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations.
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You will help the data science team lead efforts related to the business of the Brooklyn Nets, New York Liberty, Long Island Nets and Barclays Center and all other BSE Global properties.
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Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, and academia.
$225,750 - $271,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Senior Data Scientist will lead end-to-end ownership of data science projects, from problem definition and data collection to model development, deployment, and evaluation.
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Bachelor’s degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with 6+ years of professional experience in data science/machine learning.
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Our data warehouse is built using tools like BigQuery, Airflow, and dbt. 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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data science jobs Title: data science lead Company: Capital Technology Group Llc
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