What you'll do...
specializing in to lead our efforts in . As a , you will play a in driving innovation and optimizing revenue through the application of advanced statistical and machine learning techniques. You will collaborate closely with cross-functional teams to
What you'll do :
- : Lead the design, development, and deployment of advanced pricing algorithms using state-of-the-art machine learning techniques, including but not limited to regression analysis, demand forecasting, dynamic pricing, and reinforcement learning.
- Code Review : Conduct thorough code reviews of pricing algorithms and related software components developed by the team. Ensure adherence to best practices, coding standards, and optimization techniques. Provide constructive feedback and mentorship to team members to enhance code quality and maintainability.
- Data Analysis and Insights : Utilize large datasets to conduct in-depth analysis of customer behavior, market dynamics, and competitive pricing strategies. Extract actionable insights to inform pricing decisions and strategy formulation.
- Model Evaluation and Optimization : Oversee the evaluation, validation, and optimization of pricing models to ensure accuracy, reliability, and performance. Implement rigorous testing methodologies to assess model effectiveness and robustness.
- Collaboration and Stakeholder Engagement : Collaborate closely with cross-functional teams including product management, engineering, marketing, and finance to understand business objectives, requirements, and constraints. Work collaboratively to translate business needs into data-driven pricing solutions.
- Thought Leadership : Stay abreast of industry trends, best practices, and emerging technologies in pricing analytics, data science, and machine learning. Provide thought leadership and guidance on pricing strategy, methodologies, and implementation best practices.
- Documentation and Communication : Document methodologies, findings, and recommendations in clear and concise manner. Communicate complex technical concepts and insights to non-technical stakeholders through presentations, reports, and dashboards..
What you'll bring :
- Masters/PHD in Computer Science with 5+ years of experince working as a Machine Learning Engineer.
- You’re experienced with Data Science and Machine Learning , including Regression, Classification, Ensemble Methods, Deep Learning, Reinforcement Learning, GenAI , etc.
- You have strong implementation experience with at least one of the programming languages ( Python, Java, C++ , etc.).
- You have strong hands-on skills in data wrangling over massive datasets using distributed computing platform.
- You have strong written and oral communication skills .
- You have experience in online advertising, recommender system, search engine, ecommerce or related areas.
- You’re experienced with end-to-end modeling projects emerging from research efforts.
- You have an excellent academic or industrial track record of proposing, conducting, and reporting results of original research, plus collaborative research with publications.
Benefits :
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. :
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see .
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see .
Sunnyvale, California US-04397:The annual salary range for this position is $117,000.00-$234,000.00 Bentonville, Arkansas US-09416:The annual salary range for this position is $90,000.00-$180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock
Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years’ experience in software engineering or related area.Option 2: 5 years’ experience in software engineering or related area.
Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
203 Se Martin Luther King Jr, Bentonville, AR 72712-0000, United States of America