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Data Science Analyst (Senior) | 6-8 Years | Data Science - Python, Data Modeling. - Experience in designing or implementing data warehouse solutions is highly preferred.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Provide guidance with data collection efforts for extracting, identifying, and compiling environmental data from soil sampling, soil gas sampling, groundwater sampling, stormwater sampling, boring logs, and other matrices for projects, investigations, and surveys.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Education - Graduation from an accredited four year college or university with a major in Biology, Chemistry, or Forensic Science related area and successful completion of twelve (12) semester or equivalent credit hours covering biochemistry, genetics, and molecular biology or (molecular genetics) AND a three-semester credit hour (or equivalent) college-level statistics course from an accredited university or a program approved by the Commission is also required.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline. Master's Degree Master' s Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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BS in Computer Science, IT, Software or Computer Engineering, Data Science or Analytics, Mathematics or related field. Leverage AWS cloud services like S3, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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A deep understanding of (e.g., scientifically) and/or experience partnering on oncology products, lab services, therapeutic assets, bioinformatics, real-world data, and real-world evidence programs, and/or clinical trial enrollment related products / services to pharma and biotech is critical.
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Identify, assess, and prioritize security risks to all Science 37 data and systems, including external threats, cyber-crimes, internal threats, and third-party risks. at Science 37 Austin, Texas - Remote Science 37 is accelerating the research and development of breakthrough biomedical treatments by bringing clinical trials to patients' homes.
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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, marketing analytics and academia.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. Proven ability to work with a variety of data sources, including structured and unstructured data.
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Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization.
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Strong understanding of structural mechanics, materials science, and fatigue analysis, with experience applying these concepts to real-world engineering problems. Significant experience in structural analysis and simulation, with expertise in finite element analysis (FEA) software such as ANSYS, Abaqus, or Nastran.
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Graduation from an accredited college or university with a bachelor's degree in Business, Public Administration, Communications, Computer Science, Computer Information Systems, or Management Information Systems.
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Category: Healthcare, Keywords: Certified Registered Nurse Anesthetist (CRNA)By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employer’s data processor SonicJobs.
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data science jobs Company: Zoom in Austin, TX
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Even if you’ve worked hard to earn a degree from an impressive school, landing your dream job might still come down to who you know – otherwise known as networking. Lots of qualified candidates might apply for a job, but the person who gets it might very well be so-and-so’s sibling, friend, or kid. Sometimes the only way to get your foot in the door is to know someone.
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For many, it was easy finding a job while in college. But after job hunting for weeks, you may wonder why it is so hard to get a job after college. After all, you’ve put a lot of time and effort into getting your degree. But don’t get discouraged. The University of Washington found that 53% of graduates are either unemployed or working a job that doesn’t require a degree. Other studies also show that landing your first job can take between 3 and 6 months. So, getting your first job takes time.
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Making the Move to Salary Transparency
The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.
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