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KNOWLEDGE, SKILLS, AND EXPERIENCE:MUST HAVE a Masters or PhD in Civil Engineering, Environmental Engineering, Chemical Engineering, Applied Physics or similar with emphasis on Fluid dynamics, Atmospheric Science or Environmental Science At least 2 years of experience in Methane emissions related roleStrong background with demonstrated experience conducting fieldwork, including air quality and/or emissions sampling.
$90,000 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Bachelor’s Degree in Computer Science, Information Systems, Electrical Engineering, Mathematics, or a related quantitative field. Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, GCP & Airflow will be preferred.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Education:Masters degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years experience in data sciences. Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous.
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For data Science/Data Analyst/AI/Machine learning Positions. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Bachelor or Master of Science in Civil Engineering, Environmental Science, Geology, Biology, Natural Resources/ Forestry, Soil Science, Hydrology/Hydrogeology. Professional Engineer (P.E.), Professional Wetlands Scientist (PWS), or Professional Geologist (P.G.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD, Master+3 years' related work experience.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Data Science Track | SynergisticIT.
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Knowledge/Experience: Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 1 years of experience or Bachelor’s degree and 3 years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.
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Bachelor’s, Master’s degree, or Ph. D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc. Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
$130 - $160Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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engineering computer science data scientist jobs Title: software Company: Synergisticit
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