数据科学家 - 美国远程
Data Scientist - US Remote
关于职位：
在Seek，我们通过创新的ML云平台和应用商店重新定义企业如何利用分析工具。数据科学团队是实现这一使命的核心，使各种企业都能使用先进的分析和机器学习应用。你的工作将涉及探索订阅者和发布者的数据集，改进现有应用，开发分析模型，并应用机器学习技术以发现趋势、模式和见解，从而显著提升行业实践。
你将与利益相关者紧密合作，构建并推出新的分析应用，确保生成的见解可通过Seek的Insight Cloud获得。
在此职位中，你将负责：
- 使用高级统计方法和机器学习算法，分析大型、稀疏且混乱的数据集，提取有意义的模式、趋势和见解。
- 构建和维护数据处理流程，确保源数据的高效映射和转换。
- 通过获取额外数据集并与发布者数据集成，进行数据增强，以提高分析深度和准确性。
- 开发复杂的查询和脚本，对数据进行转换和建模，定制配置并调整参数以实现最佳性能。
- 将业务挑战转化为分析框架，提出并实施具有实际影响的数据驱动解决方案，改善订阅者的决策过程。
- 协助我们的BI开发人员创建交互式仪表板，提供数据见解的直观可视化，使用户能够获得清晰、可操作的信息。
- 与BI开发人员、数据工程师、其他数据科学家和业务利益相关者紧密合作，确保模型符合业务目标和技术要求。
- 为模型、管道和流程编写清晰且全面的文档，以促进协作和可重复性。
资格要求：
- 1年以上数据科学或数据分析经验
- 熟练掌握常用的数据科学Python库，用于数据转换、回归、分类和聚类
- 具有数据准备和特征工程经验，包括清洗、规范化、转换以及从原始数据中选择相关特征
- 精通SQL技能：连接、子查询、窗口函数、公用表表达式（CTEs）、聚合、复杂字符串操作、存储过程和函数
查看英文原文
About the role:
At Seek, we’re redefining how businesses harness analytics through our innovative ML cloud platform and app store. The Data Science team is central to our mission making advanced analytics and machine learning applications accessible to a variety of businesses. Your work will involve exploring subscriber and publisher data sets, improving existing apps, developing analytical models, and applying machine learning techniques to uncover trends, patterns, and insights that can generate significant improvements to industry-wide practices.
You will collaborate closely with stakeholders to build and launch new analytics apps, ensuring that the
insights generated are accessible through Seek’s Insight Cloud.
In this role you will get to:
- Analyze large, sparse, and messy datasets to extract meaningful patterns, trends, and insights usingadvanced statistical methods and machine learning algorithms.
- Construct and maintain data processing workflows, ensuring efficient mapping and transformation ofsource data.
- Perform data enrichment by sourcing additional datasets and integrating them with publisher data to enhance analytical depth and accuracy.
- Develop complex queries and scripts to transform and model data, tailoring configurations and fine-tuning parameters for optimal performance.
- Translate business challenges into analytical frameworks, proposing and implementing data-drivensolutions that have a tangible impact on our subscribers’ decision-making processes.
- Assist our BI Developers in creating interactive dashboards that provide intuitive visualizations of datainsights, enabling users to derive clear, actionable information.
- Work closely with BI developers, data engineers, other data scientists and business stakeholders toensure that models are aligned with business goals and technical requirements.
- Write clear and comprehensive documentation for models, pipelines, and workflows to facilitatecollaboration and reproducibility.
Qualifications:
- 1+ year of experience in data science or data analytics
- Proficiency in common data science Python libraries for data transformation, regression, classification, and clustering
- Experience in data prep and feature engineering including cleaning, normalizing, transforming, and selecting relevant features from raw data
- Proficient SQL skills: joins, subqueries, window functions, common table expressions (CTEs), aggregations, complex string manipulations, stored procedures and functions
- Experience with data visualization tools and techniques or dashboarding products
- Excellent problem-solving and creative thinking skills with ability to drive complex data analysis and development forward independently
- Strong communication skills with the ability to present data and articulate complex technical concepts clearly and concisely
- Bachelor's degree in data science, statistics, computer science, or a related field.
We’re especially interested in you if you have:
- Experience with PySpark or SnowPark for Python, SQL user-defined functions and table functions (UDFs & UDTFs)
- Familiar with version control like GitHub or Gitlab and production deployment pipelines
- Experience working with large-scale datasets directly within cloud data warehouses such as Snowflake, DataBricks, or Redshift
- ML performance optimization experience: efficient computation, parallel processing, hyperparameter turning, model pruning, and quantization
Salary:
· The annual salary range for this position is between $105,000 - $120,000, depending on experience and qualifications.
Benefits:
· Medical Insurance, Dental Insurance, PTO, 16 annual company holidays, 401K, Vision Insurance
Tools we use:
· React, TypeScript, styled components, RSBuild, ESBuild, Webpack, Babel, Jest, Vitest, Git, GitLab CI, VS Code, Biome, Amplitude
Location
· This is an entirely remote position for candidates based in the US.
No Visa Sponsorship Available
· We do not offer visa sponsorship at this time.
What Sets Us Apart
Seek is committed to a culture that values ownership, flexibility, and collaboration. We prioritize work-life balance and encourage our team to explore new ideas, test hypotheses, and innovate continuously. You’ll join a diverse group of professionals dedicated to pushing the boundaries of business analytics development, with ample opportunities to grow alongside talented peers who value your expertise and vision.
Originally posted on Himalayas