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Expertise in data analysis tools and techniques, including SQL, Python, R, and data visualization tools such as Tableau or Power BI. Utilize advanced analytics techniques, including predictive modeling, data mining, and machine learning, to uncover trends and inform strategies.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Programming Languages: Python, JavaScript, Spark Data exploration tools: Grafana, Jupyter Notebooks, Metabase, Quicksight, PowerBI, or similar Relational and non-relational databases, data lakes: MongoDB, Snowflake / Redshift.
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At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply)At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications:Master.
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Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software. - Experience with data visualization using Tableau, Quicksight, or similar tools. - 3+ years of quantitative and qualitative data science/business intelligence with significant business impact experience.
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Experience with common Python data science packages (NumPy, Pandas, etc) Our growing team of 15+ quant investors, machine learning researchers, and software engineers comes from top universities and financial institutions such as Goldman Sachs and Bridgewater Associates.
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Perform data analysis, validation, cleansing, and manipulation using SQL, Python, or other tools. Working proficiency level in programming languages: SQL, Python, and/or R, and visualization tools: Tableau and/or Power BI.
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Experience with a range of machine learning related frameworks and libraries, such as Python scikit-learn, Pandas, StatsModels, Pandas, Keras, TensorFlow. 8+ years of experience in end-to-end statistical analysis, data science, and machine learning lifecycles at an enterprise level.
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Advanced programming skills in modern languages including Python, R, C#, Java, Scala and Go (Python required) Extensive experience with different Data Science methods such as clustering, classification, regression, time series, & optimization.
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Strong knowledge and experience using the following software and tools, required: SQL/NoSQL, Python, R, Spark, Git, data pipeline tools (e.g., Airflow), cloud infrastructure (Microsoft Azure preferred.
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Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
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Strong knowledge of R or Python for data analysis and modeling. Familiarity with R or Python for predictive modeling. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks.
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You'd be joining a team of smart engineers and data scientists who know how to get things done solving challenging and interesting problems in the ad tech space using cutting-edge AI/Machine Learning tools and techniques.
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Top Tier Management Consulting firm is looking to continue to build their Strategic Finance team, is looking for a Senior Manager Data and Analytics - this is a National Practice and can sit in any major market.
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