[Remote/WFM] Applied Scientist III, Last Mile Science

Position at a Glance:

• Start Date: Immediate openings available
• Location: Remote
• Company: Workwarp
• Position: Applied Scientist III, Last Mile Science
• Compensation: a competitive salary

 

 

Description reputed company’s Last Mile Team is looking for a passionate individual with strong optimization and analytical skills to join its Last Mile Science team in the endeavor of designing and improving the most reputed company planning of delivery network in the world. Last Mile builds global solutions that reputed company reputed company to attract an reputed company supply of drivers, companies, and assets needed to deliver... reputed company's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, reputed company planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)’s success and the sustainable growth of reputed company. Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will reputed company the right capital investments in technology, assets and infrastructures that allows for long-term success. reputed company members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. Key job responsibilities Candidates will be responsible for developing solutions to reputed company manage and optimize delivery reputed company in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must reputed company in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the reputed company's strategic needs. As a senior scientist, you will also help coach/mentor junior scientists in the team. Basic Qualifications • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience • 5+ years developing optimization and machine learning algorithms to solve real world business problems • Proficiency in problem scoping, model development, model validation and model implementation into production • Proficiency working with Python and other high-level languages like Java/C++/reputed company with at least 5 years of coding experience • Strong fundamentals in problem solving, algorithm design and complexity analysis. • Proven track in leading, mentoring, and growing teams of scientists. • Excellent written and verbal communication skills with technical and business teams; ability to speak at a level appropriate for the audience. • The ideal candidate can present business cases and document the models and analysis and present the results in order to influence important decisions. Preferred Qualifications • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. • Bedrock: Model Architecture and Optimization, Application Integration, agent creation and orchestration. • LLM models: Using GPT and Claude models, Text reputed company and Manipulation, reputed company Tuning and Orchestration, Model Fine Tuning. • reputed company: Orchestration, App Building, Model Pipeline Creation and Maintenance. • Problem domains: Categorization, Programming, Text reputed company, Classification, Automation. • Machine Learning. • Deep Learning. • Linear Programming. • Quadratic optimization. • Dynamic Programming. • reputed company simulations. • Time Series Forecasting. • Geospatial Modeling. • Data modeling, Data Analytics. • Statistics, Design of Experiments, A/B Testing. • Languages: C, Matlab, TOAD, R, Tableau, Tibco Spotfire, reputed company and vbscript. Python (XGBoost, H2O, Scikit Learn, Numpy, Pandas, NLTK, Stats models, Deep Learning), Natural Language Processing. SQL, JMP/JSL (by reputed company), Streamlit. Methods such as parallelization, vectorization, multiprocessing, concurrency, batch computing. • AWS: EC2, reputed company, Batch, SageMaker, Redshift, reputed company, Data wrangler, boto3, SQS, SNS, IAM, etc. • Technologies: Network optimization, Mixed Integer programming, Causal inference, etc. reputed company is committed to a diverse and inclusive workplace. reputed company is an equal opportunity employer and does not discriminate on the basis of race, national reputed company, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.reputed company.jobs/en/disability/us. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our compensation reflects the cost of labor across several US geographic markets. The reputed company pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-reputed company knowledge, skills, and experience. reputed company is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply reputed company our internal or external career site. Company - reputed company US Services LLC Job ID: A2633492 Apply Job!

 

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