AppNexusHub is an independent job search aggregator. We may earn a commission when you click through.
Top Data Science Roles in May: Where to Apply Now
Discover the best data science roles this May with diverse opportunities in AI and analytics. Whether you're seasoned or starting, find your next step here.
Quick Picks
Best overall: Senior Data Scientist / Senior ML Engineer.
Best budget: AI Engineering Lead: LLMs, NLP & Speech Tech.
Best for AI: Senior Data Analytics Playmaker — Lead Strategy & Insights.
Advanced Data Science Roles
For those with significant experience and expertise in data science, these roles offer challenging environments and the potential for career growth. These positions are perfect for professionals who thrive in high-pressure settings and enjoy leading innovative projects.
Senior Data Scientist
The strength of the Senior Data Scientist / Senior ML Engineer role lies in its focus on high-impact projects and cutting-edge technology. If you're seasoned in machine learning and looking to make a significant impact, this is a role worth considering. Its competitive pay is commensurate with the skills and leadership expected.
Project Officer - AI and Emerging Technologies
You'd choose the Project Officer – AI and Emerging Technologies if you're passionate about shaping the future of tech policy and implementation. This role requires a blend of strategic thinking and technical proficiency, making it ideal for those who enjoy bridging the gap between technology and policy.
Senior Gen AI Specialist
The draw here is the opportunity to specialize deeply in generative AI with the Senior Gen AI Specialist position. This role is tailored for those who have a strong background in AI and wish to focus on innovative projects that push the boundaries of what's possible.
AI Engineer
What sets the AI Engineer apart is its focus on developing and implementing AI solutions that have real-world applications. This role is best for those who are not only technically proficient but also have a knack for applying AI creatively across various projects.
Data Scientist
The trade-off with the Data Scientist role is its broad application vs. a specialized focus. It's a great fit for those who prefer a generalist approach in analytics and want to work across multiple domains, providing versatility and varied challenges.
System Data Analytics Specialist
Worth considering because the System Data Analytics Specialist role focuses on fraud prevention and optimization, critical areas for companies looking to secure and streamline their operations. If you're interested in data security and optimization, this position offers significant impact.
While these advanced roles offer substantial rewards, they often demand extensive experience and specialization. For those who prefer a more strategic or leadership-focused path, the next offering might align better with your career aspirations.
Strategic Leadership in Data Analytics
Leadership roles in data analytics are pivotal for driving company strategies and insights. These positions are tailored for those who have experience in managing teams and translating data into actionable business strategies.
Senior Data Analytics Playmaker
What sets the Senior Data Analytics Playmaker apart is its strategic focus in leading insights and strategies for business growth. It's suitable for those who have a knack for leadership and a strategic mindset, ensuring that data-driven decisions align with business goals.
These leadership roles require not just technical skills but also a strategic vision to guide teams and projects toward success. If strategic impact is your focus, the next set of roles provides opportunities to drive innovation in AI and engineering.
Innovative AI and Engineering Opportunities
For those who thrive in environments where innovation is key, these roles offer the chance to work on pioneering projects at the forefront of AI and engineering.
AI Engineering Lead
You'd pick the AI Engineering Lead role if you're looking to spearhead projects in LLMs and NLP technologies. This position is for those who have a strong engineering background and are keen on leading cutting-edge AI initiatives.
Applied AI Engineer
The Applied AI Engineer role is notable for its practical application of AI technologies in real-world scenarios. It's a great fit for those who are innovative thinkers and wish to see their work make tangible impacts.
Whether you're looking to lead, innovate, or specialize, the data science roles available this May offer diverse opportunities to match your career goals. From strategic insights to cutting-edge AI projects, there's a path for every data enthusiast ready to make an impact.
