初级数据科学家
Junior Data Scientist
职位描述
Wpromote 正在招聘一名初级数据科学家,他/她热爱通过数据解决问题,并具备扎实的数学、逻辑和沟通能力。在这个职位中,您将支持数据处理、模型更新和分析报告工作,同时学习高级技术以逐步扩大您的影响力。您将与工程、报告、产品、付费媒体和数据科学团队合作,为电商、零售和娱乐行业的客户提供支持。如果您注重细节、渴望学习,并准备好将数据转化为有意义的洞察,我们期待您的加入!
在 Wpromote,我们相信伟大的工作只能由优秀的人才完成。我们的目标是打造一个更好、更具包容性的职场环境,通过以下政策和福利,在职业发展的每个阶段支持我们的员工。作为 Ad Age 和 Glassdoor 以及 Adweek 的“最快成长数字机构”之一,我们正快速扩展团队,引入新的专家,不断推动营销领域的可能性。
我们提供:
- 无限制带薪休假
- 冬季延长假期
- 灵活的工作时间
- 全球远程办公选项*
- 100% 育儿假薪资
- 401(k) 配比
- 医疗、牙科、视力、人寿、宠物保险
- 资助人寿保险
- 短期伤残保险和其他自愿保险
- 年度课程通行证积分等更多福利!
该职位的预期年薪范围为 88,000 至 100,000 美元,具体取决于每位候选人的多种因素,包括技能、工作经验年限和深度、教育背景和证书、竞争基准、职责范围、市场动态、地理位置以及各州对非豁免员工的薪资门槛。在 Wpromote,薪资范围可能会根据第三方薪资基准调查的类似职位的特定市场中位数进行调整。该范围内的具体薪资可能因技能、经验和可用预算而有所不同。该职位的总薪酬包将包括上述福利。
*此职位可在大多数美国州远程工作,但部分州除外
**虽然该职位提供远程工作的灵活性,但我们设有洛杉矶、芝加哥和纽约的办公室,您可以参与学习和发展机会、有趣的活动,利用办公空间并与其他同事协作。
查看英文原文
The Role
Wpromote is hiring a Junior Data Scientist who loves solving problems with data and has strong math, logic, and communication skills. In this role, you’ll support data processing, model updates, and analytics reporting while learning advanced techniques that will grow your impact over time. You’ll collaborate with teams across Engineering, Reporting, Product, Paid Media, and Data Science, working with exciting clients in e-commerce, retail, and entertainment. If you’re detail-oriented, eager to learn, and ready to turn data into meaningful insights, we want to hear from you!
At Wpromote, we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing.
We offer:
-Unlimited PTO
-Extended Holiday break (Winter)
-Flexible schedules
-Work from anywhere options*
-100% paid parental leave
-401(k) matching
-Medical, Dental, Vision, Life, Pet Insurance
-Sponsored life insurance
-Short Term Disability insurance and additional voluntary insurance
-Annual Class Pass Credits and more!
The anticipated annual salary for this role will range from $88,000 - $100,000, based on a variety of factors unique to each candidate, including skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and the respective state’s salary threshold for exempt employees. At Wpromote, pay ranges are subject to change and are based on specific market medians for similar jobs according to third-party salary benchmark surveys. Individual pay within that range can vary due to skills, experience, and available budget. The total compensation package for this role will include benefits (listed above).
*This position may be performed remotely in most states within the US, with some exclusions
**While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person!
***This position is not eligible for immigration sponsorship
Important Notice: Beware of Job Scams
Wpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers, it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity.
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You Will Be
Learning to transform, improve, and integrate data according to business requirements
Planning and scoping end-to-end data analysis projects by identifying the business problem and selecting appropriate investigative tests and solutions
Using SQL and BigQuery to combine and prepare datasets from multiple sources
Delivering data in a clear, useful, and visually appealing way to both technical and non-technical audiences
Maintaining existing media-mix models through directed retrains and reporting on performance changes
Organizing and collecting results from media-mix models, incrementality tests, clean rooms, and related analyses to support Wpromote’s culture of learning
Conducting guided marketing analyses to support client and internal needs
Supporting presentations through data pulls, ad-hoc analyses, and slide creation
Learning to automate data gathering, blending, and transformation processes
Collaborating across Engineering, Reporting, Product, Paid Media, and Data Science teams to understand and support client needs
You Must Have
Intermediate programming skills in R or Python for data cleaning, data modeling, pipeline development, API calls, and related tasks
Experience with statistical modeling, machine learning techniques, and LLMs
Intermediate SQL skills, including window functions, stored procedures, views, triggers, unions, CTEs, subqueries, and debugging
Advanced proficiency in Excel and/or Google Sheets
Experience with at least one BI platform (Looker, Tableau, Power BI, etc.) with the ability to learn others; Looker preferred
Experience or familiarity with version control tools such as Git or Bitbucket
Strong organizational skills with the ability to balance competing client requests and work with complex datasets while maintaining accuracy and meeting deadlines
Intermediate to advanced competency in statistics, probability, and linear algebra
Strong communication skills, including experience creating and delivering presentations and executive summaries
Demonstrated critical thinking skills—the ability to analyze numbers, trends, and data to form meaningful insights
Interest or passion for marketing analytics and/or a personal project portfolio
Associate’s degree, bootcamp certification, or practical work experience in a quantitative field (Statistics, Mathematics, Computer Science, Information Technology, Economics, Engineering, etc.)
Nice To Have
Bachelor’s degree or higher in a quantitative field
Exposure to marketing analyses such as media-mix models (MMM), incrementality testing, CAC, and lead scoring
Experience with analytics software, such as Google Analytics and Adobe Analytics
Familiarity with clean room environments (FBAA, AMC, Google ADH)
Experience with cloud computing (AWS, GCP, Azure, etc.)
Wpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.
Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote.
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.