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- Aufgaben: Join our team to develop innovative AI solutions using Python and data analysis.
- Arbeitgeber: Be part of a forward-thinking company pushing the boundaries of AI technology.
- Mitarbeitervorteile: Enjoy permanent remote work with flexible hours and a collaborative environment.
- Warum dieser Job: Make a significant impact in AI while working with cutting-edge technologies and talented professionals.
- GewĂĽnschte Qualifikationen: Must have a degree in Engineering or Computer Science and 4+ years of relevant experience.
- Andere Informationen: Work with US companies on exciting commercial and research AI projects.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Python Data Scientist/Analyst
Experience: 4 – 20 Years
Location: Anywhere in the World – Permanent Remote
Contract Duration: 6-12 months
Work Hours: 5 hours overlap with PST time zone
Standard work hours are: 8 AM PST – 4 PM PST.
Must-Have:
- Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
- At least 4 years of relevant experience as a data scientist
- 3+ years of data analysis experience and a desire to have a significant impact on the field of artificial intelligence
- 4+ years of experience working with Python programming.
- Fluent in conversational and written English communication skills.
Job Description: We are actively seeking talented Data Scientists & Analysts proficient in Python to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and aspire to be at the forefront of AI advancements. You will work with companies in the US looking to develop cutting-edge commercial and research AI solutions.
Job Responsibilities:
- Write effective Python code to tackle complex issues, but also use your business sense and analytical abilities to glean valuable insights from public databases.
- Communicate clearly with researchers and help the organization in realizing its objectives.
- Clearly express the reasoning and logic when writing code in Jupyter notebooks, or other suitable mediums.
- Fix bugs in the code and create thorough documentation.
- Utilize extensive data analysis skills to develop and respond to important business queries using available datasets (such as those from Kaggle, the UN, the US government, etc.).
- Effectively communicate with the researchers to comprehend the needs and provide the results.
Job Requirements:
- Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
- At least 4 years of relevant experience as a data scientist
- 3+ years of data analysis experience and a desire to have a significant impact on the field of artificial intelligence
- 4+ years of experience working with Python programming.
- Strong data analytic abilities and business sense are required to draw the appropriate conclusions from the dataset, respond to those conclusions, and clearly convey the key findings.
- Excellent problem-solving and analytical skills.
- Excellent communication abilities to work with stakeholders and researchers successfully.
- Fluent in conversational and written English communication skills.
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Engineering and Information Technology
Industries: Technology, Information and Internet
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Data Scientist - LLM Arbeitgeber: YO IT CONSULTING
Kontaktperson:
YO IT CONSULTING HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Scientist - LLM
✨Tip Number 1
Make sure to showcase your Python programming skills in any discussions or interviews. Be prepared to discuss specific projects where you've used Python to solve complex problems, as this will demonstrate your hands-on experience and technical expertise.
✨Tip Number 2
Familiarize yourself with the latest trends and advancements in AI technology. Being able to discuss current developments in the field will show your passion and commitment to making a significant impact in artificial intelligence.
✨Tip Number 3
Practice explaining your data analysis process clearly and concisely. Since communication is key in this role, being able to articulate your reasoning and findings effectively will set you apart from other candidates.
✨Tip Number 4
Engage with the data science community online, such as forums or social media groups. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for job opportunities like the one at StudySmarter.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Scientist - LLM
Tipps für deine Bewerbung 🫡
Highlight Relevant Experience: Make sure to emphasize your experience as a data scientist and analyst, particularly your 4+ years of experience with Python programming. Use specific examples from your past work that demonstrate your ability to tackle complex issues and develop innovative solutions.
Showcase Your Analytical Skills: Detail your data analysis experience, especially how you've utilized datasets from sources like Kaggle or government databases. Explain how your analytical abilities have led to significant insights or business impacts in previous roles.
Communicate Clearly: Since excellent communication skills are essential for this role, ensure your application reflects your ability to convey complex ideas clearly. Use straightforward language and structure your application logically to showcase your communication prowess.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Mention your desire to impact the field of artificial intelligence and how your background makes you a perfect fit for the team dedicated to pushing AI technology forward.
Wie du dich auf ein Vorstellungsgespräch bei YO IT CONSULTING vorbereitest
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you wrote effective code, tackled complex issues, and how you utilized libraries relevant to data science.
✨Demonstrate Data Analysis Expertise
Prepare examples of your data analysis work. Discuss how you've used datasets from sources like Kaggle or government databases to derive insights and make business decisions.
✨Communicate Clearly
Since communication is key, practice explaining your thought process and the logic behind your coding decisions. Be ready to articulate how you would collaborate with researchers and stakeholders.
✨Prepare for Problem-Solving Questions
Expect to face problem-solving scenarios during the interview. Brush up on your analytical skills and be ready to demonstrate how you approach fixing bugs and documenting your code.
