Introduction to Indeed and Our Mission
Indeed, the world's number one job search site, is on a mission to help people get jobs. We strive to create an inclusive and welcoming workplace where everyone feels comfortable being themselves. Our goal is to build a team of innovative and enthusiastic individuals who share our passion for creating the best experience for job seekers. As a leader in the job search industry, we are committed to making a positive impact on people's lives and careers.
About the Role: Staff Data Scientist - Search Retrieval
We are seeking an experienced Staff Data Scientist to join our team, specializing in Search Retrieval and Machine Learning. As a key member of our team, you will be responsible for improving and optimizing our search algorithms, driving innovation and performance in how customers interact with our platform. The ideal candidate will bring a deep understanding of data science, machine learning, and search retrieval methodologies to develop and implement robust solutions.
Day-to-Day Responsibilities
As a Staff Data Scientist, you will be a team lead, owning one of the team's fundamental workstreams, assisting in driving technical direction for the team, and guiding other team members to achieve product and technical goals. On a daily basis, you will:
- Explore data and formulate problem statements
- Develop and deploy predictive models, tracking them in production
- Guide the team in implementing solutions and collaborating with cross-functional teams
- Evangelize your team's work and stay up-to-date with the latest developments in the field
Key Responsibilities
Some of the key responsibilities of this role include:
- Collaborating with cross-functional teams to enhance and optimize search algorithms for improved accuracy, relevance, and overall user experience
- Experimenting with Proof of Concept Machine Learning model improvements, scaling them to production, and running iterative A/B experiments to enhance our matching technology
- Defining and clarifying project objectives, deliverables, and success metrics in collaboration with cross-functional teams
- Acting as a bridge between technical and non-technical stakeholders, facilitating effective communication and understanding of project goals and outcomes
- Mentoring and developing other software engineers, data scientists, and Machine Learning Engineers across teams
- Breaking down large Machine Learning projects into components that deliver incremental business value and guiding the team through implementing them
- Representing Indeed at major Machine Learning conferences, such as Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), and International Conference on Learning Representations (ICLR)
Essential Qualifications
To be successful in this role, you will need:
- A Bachelor's degree in Computer Science, Mathematics, or a related field
- 3+ years of industry experience as an AI Engineer, Data Scientist, or Machine Learning Engineer
- Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while collaborating across teams
- A solid understanding of data systems and algorithms
- A sense of ownership and accountability as a key contributor in the technical and product domains
- Knowledge and hands-on experience working with Deep Learning Libraries (such as Torch, Tensorflow, etc.)
- Excellent written and verbal communication skills in English, with the ability to communicate effectively with technical and business audiences
Preferred Qualifications
While not required, the following qualifications are preferred:
- Experience working with large datasets and distributed computing systems
- Knowledge of natural language processing and information retrieval techniques
- Experience with cloud-based technologies, such as AWS or Google Cloud
- Strong programming skills in languages such as Python, Java, or C++
Skills and Competencies
We are looking for someone with a deep passion for designing and building machine learning systems, someone who loves thought-provoking challenges, is eager to learn, and wants to work with a variety of technologies to "help people get jobs".
Salary Range Transparency
The salary range for this role is $30-40 per hour, depending on experience and location. Please note that this is just one aspect of Indeed's total rewards package, which includes quarterly bonuses, Restricted Stock Units (RSUs), Paid Time Off policy, and many location-specific benefits.
Benefits and Perks
In addition to our powerful mission of helping people get jobs, there are many reasons to join our team. We've assembled a comprehensive Total Rewards package of perks, programs, and benefits that demonstrate how much we value our people, whether they're inside Indeed or out.
- Flexible paid time off policy to help you relax, explore, and take care of life's unexpected surprises
- Wellness programs to support your mental and physical health
- A range of benefits to keep you and your family healthy and happy
- Equitable compensation and rewards for your contributions to the company
- A sense of belonging and community through our Inclusion Resource Groups and Employee Experience team
Work Environment and Company Culture
At Indeed, we strive to create a welcoming and inclusive workplace where everyone feels comfortable being themselves. We're committed to building a diverse and global community, and we're proud to be an equal opportunity employer. Our company culture is centered around our mission to help people get jobs, and we're looking for team members who share our passion and enthusiasm for making a positive impact.
Conclusion
If you're a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Staff Data Scientist at Indeed, you'll have the chance to work on complex problems, collaborate with cross-functional teams, and contribute to the development of innovative solutions that make a real difference in people's lives. Join our team and help us achieve our mission of helping people get jobs!
Apply Now