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Top Entry Level Data Science Jobs in Washington DC,
As a Variant Scientist, you will classify somatic and germline variants, analyze molecular data using various software tools, interpret scientific literature, and generate high-quality clinical reports. You will also ensure quality control and may provide training for junior team members.
The Data Visualization Specialist will create visualizations that effectively communicate complex data, develop geospatial maps, and provide analysis and evaluation support for clients in the Energy, Science, and Technology sectors.
As an Energy Market Research Specialist, you will analyze energy market trends, focusing on renewable and fossil fuels to support strategic planning. You'll provide data analysis, modeling, evaluation, and report development for initiatives related to the Department of Energy.
The Data Scientist will support data science needs by performing data mining, statistical analysis, and building predictive models for the Cybercrime and Analytics Group. Responsibilities include optimizing classifiers, data processing, anomaly detection, and assisting with IT support as needed.
As a Data Scientist at Bond, you will design and maintain ETL processes for financial data, analyze key performance indicators to generate reports, and collaborate with cross-functional teams to drive data-driven decision-making and operational efficiency.
As a Research Scientist at Waabi, you will lead and contribute to AI research projects, focusing on developing algorithms for self-driving technology and their implementation in production systems. Your work will encompass problem-solving across various areas, including perception, motion forecasting, and generative modeling, while also ensuring code quality and publishing findings at top conferences.
As a Data Scientist at Raptive, you will analyze large data sets to derive insights, build metrics, and develop solutions. Responsibilities include designing experiments to improve revenue, classifying audience content, and visualizing complex systems while working with various technologies and data generation processes.
Company Description
👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new coll...
The role involves developing algorithms and applications for analyzing reliability data, performing statistical analysis, and utilizing machine learning to predict product reliability. Additional responsibilities include building data-driven applications, organizing insights from data, and ensuring model scalability across solutions.
As a mentor at Udacity, you will provide technical support to students in their academic journeys, answer technical queries, review project submissions, and offer personalized feedback, ensuring a supportive learning environment.
The Data Scientist 2 role at Comcast involves optimizing the performance of syndicated products, engaging with global telecommunications providers, and ensuring operational excellence across the product portfolio. It requires collaboration within a motivated team focused on enhancing customer experiences in digital media and connectivity.
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