About Projas Technologies
Sourced by ZipRecruiter
Company size
1 - 10 Employees
Headquarters location
Santa Clara, CA, US
Year founded
2005
Data Scientist AI & Machine Learning Innovation *** Direct End Client ***
Projas Technologies, LLCMountain View, CA
Other
Posted 28 days ago
Job description
<>Overview
We re seeking a visionary data scientist to lead the evolution of AI-driven recommendation systems and monetization strategies. This role combines technical leadership, strategic thinking, and hands-on expertise in machine learning and generative AI to deliver transformative solutions at scale.
<>Key Responsibilities- Architect and implement advanced machine learning systems that power intelligent recommendations and personalized experiences.
- Define and execute a forward-looking technical vision for AI capabilities, including generative AI and agent-based systems.
- Collaborate with engineering, product, and analytics teams to align technical strategy with business objectives.
- Design and optimize large-scale AI platforms, ensuring scalability, reliability, and operational excellence.
- Stay ahead of emerging trends in AI, identifying opportunities and risks to guide innovation and maintain competitive advantage.
- Mentor and guide data scientists and engineers, fostering best practices and technical excellence.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- MS or PhD in Computer Science, Machine Learning, Data Science, or related field.
- 10+ years of experience in data science, software engineering, or AI systems architecture.
- Proven track record of building and scaling machine learning systems for real-world applications.
- Strong programming skills in Python, Java, or C++.
- Expertise in designing next-generation AI solutions, including generative AI and semantic search.
- Exceptional communication and leadership skills, with the ability to influence cross-functional teams.
- Experience in ad technology or monetization strategies.
- Background in developing generative AI capabilities and supporting infrastructure.
- Ability to thrive in fast-paced, large-scale environments.
data scientist, machine learning, AI, generative AI, recommendation systems, semantic search, knowledge graph, Python, Java, C++, big data, ETL, ad tech, monetization, data architecture, AI systems, ML pipelines, predictive modeling, deep learning, cloud computing, distributed systems, operational excellence, leadership, mentoring, innovation
projas.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Scientist?
A: To succeed as a Data Scientist, one must possess core technical skills such as proficiency in programming languages like Python, R, or SQL, as well as expertise in machine learning algorithms, data visualization tools like Tableau or Power BI, and statistical modeling techniques. Additionally, strong soft skills like effective communication, collaboration, and problem-solving abilities, along with traits like curiosity, adaptability, and attention to detail, are crucial for success in this role. By combining these technical and soft skills, Data Scientists can effectively extract insights from complex data, drive business decisions, and drive career growth through continuous learning and innovation.
Q: What is the career path for a Data Scientist?
A: A Data Scientist's typical career progression involves starting as a Junior Data Analyst or Data Scientist, where they develop foundational skills in data analysis, machine learning, and visualization. As they gain experience, they can move into mid-level roles such as Senior Data Scientist or Lead Data Analyst, where they take on more complex projects, mentor junior team members, and contribute to strategic decision-making. Ultimately, senior Data Scientists can transition into leadership positions like Director of Data Science or Chief Data Officer, or pursue specialized roles like Data Engineering or Artificial Intelligence Research Scientist, depending on their interests and skills.
