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Knowledge in database programming , big data analytics, programming skills, using computer languages in R, Python, SQL, C will be an added advantage. 5G & 4G Optimization experience covering cmWave ,mmWave Optimization; VONR,NSA,SA, VoLTE, mMIMO, Multi layer mobility and load balancing.
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Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau. Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus.
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Proficiency in programming languages such as Python, R, and relevant libraries and frameworks (e.g., Sklearn, TensorFlow, PyTorch). Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP.
$127,950 - $191,962.5 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Statistical knowledge and extreme proficiency in SQL. Comfortable with R, Python and Tableau. You will be impacting every aspect of the business and it will require various techniques, from diving deep into data with SQL and Big Data tools, all the way to deploying modern machine learning models.
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Experience with big data technologies (Hadoop/Vertica) is a plus. For us, a data scientist is a fusion of core production skills with analytic and business skills. Experience combining user research and data science methodologies across multiple products and teams.
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Build, validate, test, and deploy machine learning or other data science models to predict and influence the behavior of consumers with the goal of optimizing products & processes. You love leading diverse teams of professionals with both qualitative and quantitative backgrounds using data-driven and insights-led approaches to respond quickly in a dynamic, competitive, and fast changing industry.
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Java, R, Python, or other structured programming language. Identifies, researches, or solves large complex problems using big data and statistics, forecasting and machine learning principles.
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Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Tableau & Power BI. Exposure to cloud platforms and big data systems such as Hadoop HDFS, and Hive is a plus.
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Experience in programming languages and stats packages (e.g. Python, R); experience in developing and deploying machine learning models preferred. Manage the full cycle of iterative big data exploration, including hypothesis setting, data cleansing, insight generation/visualization, and action planning.
$152,500Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Strong programming skills in Python, R, Tensorflow and prompt engineering. Experience with big data platforms such as Hadoop, Spark, and Hive. Collaborate with cross-functional teams including data science, software engineering, and product management to build predictive models, forecasting tools, and recommendation systems.
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Python, R, SQL, Git, AWS, PyTorch, Spark, MLlib,Scikit-learn; and. Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
$65,600 - $158,200 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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The successful candidate will have experience with more than one of the following; analyzing next-generation sequencing (NGS), functional genomics, statistics for big data analysis, or multi-omics data integration.
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