Data Science Jobs

Creating a data science portfolio is a great way to showcase your skills and experience to potential employers. Here are some steps to help you create a strong data science portfolio: 1. Choose relevant projects: Select a few data science projects that demonstrate your skills and interests. These projects can be from your previous work experience, personal projects, or online competitions. 2. Clean and organize your code: Make sure your code is well-documented, organized, and easy to understand. Use comments to explain your thought process and the steps you took in your analysis. 3. Include a variety of projects: Try to include a mix of projects that showcase different aspects of data science, such as data cleaning, exploratory data analysis, machine learning, and data visualization. 4. Create visualizations: Data visualizations can help make your portfolio more engaging and easier to understand. Use tools like Matplotlib, Seaborn, or Tableau to create visually appealing charts and graphs. 5. Write project summaries: For each project, provide a brief summary of the problem you were trying to solve, the dataset you used, the methods you applied, and the results you obtained. Include any insights or recommendations that came out of your analysis. 6. Showcase your technical skills: Highlight the programming languages, libraries, and tools you used in each project. Mention any specific techniques or algorithms you implemented. 7. Link to your code and data: Provide links to your code repositories (e.g., GitHub) and any datasets you used in your projects. This allows potential employers to review your work in more detail. 8. Keep it updated: Regularly update your portfolio with new projects and skills as you gain more experience in data science. This will show that you are actively engaged in the field and continuously improving your skills. By following these steps, you can create a comprehensive and visually appealing data science portfolio that will impress potential employers and help you stand out in the competitive job market.

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Inxite-out hiring Senior Data Scientist https://inxiteout.keka.com/careers/jobdetails/3068?source=linkedin

Exciting Opportunities Await!!!! We are Seeking s seasoned Data Scientist Professional who is specializing in SQL/Python, Machine Learning, Deep Learning, GenAI Experience Required: 2 to 5 Years At least 1.6 Years of Experience in GenAI (LLM+RAG) Relevant Experience in Data Science should be 2+ Years We look forward to hearing from talented professionals eager to make an impact! If you're available to join within 30 days, please send your updated resume to shruthik@novotreeminds.com

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Hiring : Computer Vision Engineer 🌐 💻 Location: Remote (US, India, Europe) Join a cutting-edge startup revolutionizing the manufacturing industry with deep tech! We're on the lookout for a Computer Vision Engineer to design and deploy advanced vision systems for real-time object detection, defect identification, and robotic automation. 🔑 Key Skills: Expertise in object detection, tracking, and 3D vision pipelines Proficiency in Python/C++, OpenCV, PyTorch, TensorFlow Experience with real-time systems and edge devices like NVIDIA Jetson https://docs.google.com/forms/d/e/1FAIpQLSds229TBuj5OuJBKcA0eKH5QbHlln8ebHbjvglaE2Ks-G09kg/viewform

Senstosoft Looking for Senior Power BI Developer Experience: 8-11 Years only https://www.linkedin.com/posts/potanapalli-rupa-abb816152_powerbi-sql-dax-activity-7288461445137059840-MLcC

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Real is hiring AI Engineer Experience: Freshers Location: India (Remote) https://jobs.ashbyhq.com/real/70c2b22b-0a82-4f54-a673-a6d5fb598de3

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Apple is hiring Data Scientist https://jobs.apple.com/en-us/details/200578119/ml-data-scientist

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