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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/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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Entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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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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Theoretical fluency and working proficiency in the application of a broad array of statistical and quantitative methods such as description and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms.
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Requirements: Requires a Master’s degree or foreign equivalent in Statistics, Business Analytics, Business Administration, Economics, Econometrics, Information Science, Computer Engineering or related field and 3 years of experience as a Data Analyst, Statistical Analyst, Data Scientist, Decision Scientist, Pricing Analyst, Predictive Analyst, Modeler, Engineer or related position involving data analytics.
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Entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Spring boot, Microservices, Docker, Jenkins and REST API's experience.
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Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
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Skilled in data mining, predictive modeling, and machine learning algorithms. Bachelor’s Degree or equivalent work experience required in quantitative discipline (Mathematics, Statistics, Computer Science, Finance, Economics, or similar), and 2+ years in a business developer role using Epic systems.
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Strong knowledge of statistical analysis, predictive modeling, machine learning algorithms, and data mining techniques. Innovation & Research: Stay abreast of the latest developments in data science, machine learning, and medical diagnostics.
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Expertise in machine learning, data mining, nonparametric statistics. A Ph. D. in computer science, statistics, engineering, physics and econometrics or other quantitative science; and professional experience at a hedge fund, prop trading firm or investment bank focused on quantitative analysis, trading system development or algorithmic execution.
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Data analysis algorithms (e.g. data mining, statistics, machine learning, natural language processing, text mining, visual analytics) and building Descriptive, Predictive and Prescriptive models.
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machine learning data mining computer science jobs
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