Applied Scientist
Applied Scientist
DS Technologies Inc
Seattle, WA
See who DS Technologies Inc has hired for this role
About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.
DS Technologies Inc is looking for Applied Scientist role for one of our premier clients.
Job Title: Applied Scientist
Location: 1)San jose, California, United States
Industry: Hospitality - Travel / Entertainment
Job Category: Engineering - Systems
Overview
The Brand Ads Team focuses on technologies that drive business growth through innovative advertising solutions. This team handles end-to-end ad delivery tech, including bidding, ranking, and forecasting. We are seeking an Applied Scientist to lead our forecasting initiatives, developing cutting-edge advertising products and technologies that impact billions in revenue and address complex challenges in infrastructure, algorithms, and machine learning.
Position
Applied Scientist
Key Responsibilities
Minimum Qualifications:
Visa Candidate Considered: No
Compensation
Thanks
DS Technologies - Team
DS Technologies Inc is looking for Applied Scientist role for one of our premier clients.
Job Title: Applied Scientist
Location: 1)San jose, California, United States
- Seattle, Washington, United States
Industry: Hospitality - Travel / Entertainment
Job Category: Engineering - Systems
Overview
The Brand Ads Team focuses on technologies that drive business growth through innovative advertising solutions. This team handles end-to-end ad delivery tech, including bidding, ranking, and forecasting. We are seeking an Applied Scientist to lead our forecasting initiatives, developing cutting-edge advertising products and technologies that impact billions in revenue and address complex challenges in infrastructure, algorithms, and machine learning.
Position
Applied Scientist
Key Responsibilities
- Apply statistical or machine learning knowledge to solve forecasting problems for ad spending decisions.
- Translate business questions into specific quantitative questions that can be addressed with available data. Collaborate with engineers to produce necessary data when it's not available.
- Retrieve, synthesize, and present data to answer specific questions or enhance system performance.
- Solve specific business problems using statistical or machine learning techniques.
Minimum Qualifications:
- Deep domain knowledge in forecasting.
- Strong technical capabilities in data or machine learning.
- Experience in ad bidding, ranking, and retrieval; ad forecasting is a strong plus.
- Expertise in large-scale ad delivery, recommendation, or search is highly desirable.
- Proven track record of working closely with product and product marketing teams is a plus.
- Background as a data scientist or applied scientist specializing in forecasting.
- Machine Learning
- Algorithms
- Deep Learning
Visa Candidate Considered: No
Compensation
- Full-time
- Benefits: Full
- Relocation Assistance Available: Yes
- Commission Compensation: No
- Bonus Eligible: No
- Overtime Eligible: No
- Interview Travel Reimbursed: No
- Experience Required: 5+ to 7 years
- Seniority Level: Mid-Senior
- Management Experience Required: No
- Minimum Education: Bachelor's Degree
- Willingness to Travel: Occasionally
- Open to: Machine Learning Engineer, Software Engineer (machine learning), Applied Scientist, Research Scientist
- Must Have: Forecasting, time-series
- Work Arrangement: On-site Monday to Friday.
- Visa Sponsorship: Available for H1B, OPT for positions 2-0 or higher.
- Target Companies for Recruitment: Big tech and e-commerce companies like Amazon, Microsoft, Walmart, Flexport, Convoy, Alibaba, Temu, Kuaishou, Xiaohongshu, UPS, FedEx. Companies involved in social media e-commerce and 3rd party logistics.
- Client Considerations: No candidates from small, unknown companies or engineering consulting firms. No overqualified candidates with 15+ years of experience. For managerial roles, lack of domain knowledge in logistics is a concern. Candidates should have strong coding skills, as the initial interview round is a coding interview (via LeetCode).
- Relocation Fees: Available on approval basis (includes one-way flight ticket, goods & vehicle shipments, temporary housing allowance).
- Common Reasons for Candidates Not Passing Interviews: Inadequate years of experience, not local to client location, too many projects, or lack of domain knowledge in logistics.
Thanks
DS Technologies - Team
-
Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Research, Analyst, and Information Technology -
Industries
IT Services and IT Consulting
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