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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 43200 - 72000 € 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
#J-18808-Ljbffr
Sr Data Scientist - LLM Arbeitgeber: YO IT CONSULTING
Kontaktperson:
YO IT CONSULTING HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Sr 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 analytical processes 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 data analysis communities online, such as Kaggle or relevant forums. This not only helps you stay updated on best practices but also allows you to network with professionals who might provide insights or referrals for opportunities like this one.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Sr Data Scientist - LLM
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python programming and data analysis. Include specific projects or roles where you utilized these skills, especially in the context of AI.
Craft a Strong Cover Letter: In your cover letter, express your passion for artificial intelligence and how your background aligns with the company's goals. Mention any relevant projects that demonstrate your problem-solving abilities and analytical skills.
Showcase Communication Skills: Since excellent communication is key for this role, provide examples in your application that illustrate your ability to convey complex ideas clearly, whether through code documentation or collaboration with researchers.
Highlight Relevant Experience: Detail your experience as a data scientist, particularly focusing on your 4+ years of relevant work. Emphasize any significant impacts you've made in previous roles, especially those related to AI advancements.
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 to solve complex problems, and be ready to explain your thought process and the logic behind your coding decisions.
✨Demonstrate Data Analysis Expertise
Discuss your experience with data analysis and how you've utilized datasets from sources like Kaggle or government databases. Be ready to provide examples of how your analytical skills led to significant business insights or solutions.
✨Communicate Clearly
Since communication is key in this role, practice explaining technical concepts in a clear and concise manner. Prepare to articulate how you would collaborate with researchers and stakeholders to meet their needs effectively.
✨Prepare for Problem-Solving Scenarios
Expect to face problem-solving scenarios during the interview. Brush up on your analytical skills and be ready to walk through your approach to fixing bugs or addressing challenges in your previous projects.
