远程工作雷达

商业智能数据科学家

Business Intelligence Data Scientist

开发工程限定地区(需当地身份)
公司Blue Cross and Blue Shield of Kansas
薪资$108,640 - $135,800/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

你准备好做出改变了吗?选择为堪萨斯州最值得信赖的公司之一工作。
你属于蓝十字蓝盾(Blue)
为什么加入我们?

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积极影响:你的工作将直接有助于堪萨斯州居民的健康和福祉。

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家庭优先:全面的福利计划,体现所有员工家庭优先的理念。入职后立即享有带薪休假和病假,以及带薪产假和陪产假。

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职业发展机会:通过持续的培训和发展计划提升你的职业生涯。

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充满活力的工作环境:与一群热情且有动力的同事合作,在一个提倡灵活的工作环境中共同协作。

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信任与稳定:在堪萨斯州最值得信赖的公司之一工作,拥有超过80年的承诺、关怀和社区精神。

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包容性工作环境:我们以营造一个每个人都被重视和尊重的工作场所而自豪。

福利与待遇
· 基础薪资只是你具有竞争力的全面福利包的一部分
· 激励薪酬计划(EPIP)

  • 医疗/视力/牙科保险
  • 新生母亲和父亲可享受6周带薪育儿假
  • 辅助生育/领养援助
  • 2周带薪照护者假期
  • 401(k)计划,公司匹配最高5%
  • 学费报销
  • 健康与健身福利、折扣和资源

职位概要
业务智能(BI)数据科学家将负责分析复杂的数据集,开发模型和算法,并得出可操作的见解,以支持战略业务决策。BI数据科学家将与跨职能团队密切合作,包括财务、精算和承保、会员、营销和客户体验、数据仓库和IT、健康分析以及人力资源,以了解业务需求并提供数据驱动的解决方案。
“该职位可根据我们的远程办公政策,选择远程、混合或现场办公。申请者必须居住在堪萨斯州或密苏里州,或愿意作为雇佣条件进行搬迁。”

你将负责

  • 数据分析与解读:从各种来源分析大型和复杂的数据集,以识别趋势、模式和相关性。将数据分析结果转化为可操作的见解和建议。
  • 模型开发:使用机器学习和统计技术开发、测试和部署预测性和处方性模型及情景预测。持续评估和改进模型性能。
  • 数据
查看英文原文

Are you ready to make a difference? Choose to work for one of the most trusted companies in Kansas.
You Belong At Blue
Why Join Us?

  • Make a Positive Impact: Your work will directly contribute to the health and well-being of Kansans.
  • FamilyComes First: Total rewards package that promotes the idea of family first for all employees. Paid vacation and sick leave with paid maternity and paternity available immediately upon hire
  • Professional Growth Opportunities: Advance your career with ongoing training and development programs.
  • Dynamic Work Environment: Collaborate with a team of passionate and driven individuals in a work environment that promotes flexibility.
  • Trust and Stability: Work for one of the most trusted companies in Kansas with over 80 years of commitment, compassion and community.
  • Inclusive Work Environment: We pride ourselves on fostering a workplace where everyone is valued and respected.

Benefits & Perks
· Base compensation is only one component of your competitive Total Rewards package
· Incentive pay program (EPIP)

  • Health/Vision/Dental insurance
  • 6 weeks paid parental leave for new mothers and fathers
  • Fertility/Adoption assistance
  • 2 weeks paid caregiver leave
  • 401(k) plan matching up to 5%
  • Tuition reimbursement
  • Health & fitness benefits, discounts and resources

Job Summary
The Business Intelligence (BI) Data Scientist will be responsible for analyzing complex data sets, developing models and algorithms, and deriving actionable insights to support strategic business decisions. The BI Data Scientist will work closely with cross-functional teams, including finance, actuarial and underwriting, membership, marketing and customer experience, data warehouse and IT, health analytics, and human resources, to understand business needs and deliver data-driven solutions.
“This position is eligible to work remote, hybrid or onsite in accordance with our Telecommuting Policy. Applicants must reside in Kansas or Missouri or be willing to relocate as a condition of employment.”
What you’ll do

  • Data Analysis & Interpretation: Analyze large and complex data sets from various sources to identify trends, patterns, and correlations. Translate data findings into actionable insights and recommendations.
  • Model Development: Develop, test, and deploy predictive and prescriptive models and scenario forecasting using machine learning and statistical techniques. Continuously evaluate and improve model performance.
  • Data Visualization: Create compelling data visualizations and dashboards to communicate findings and insights to both technical and non-technical stakeholders.
  • Collaborate & Communicate: Work with business stakeholders to understand their needs and translate them into data-driven solutions. Present findings and recommendations in a clear and concise manner. Support teammates by maintaining up-to-date, thorough, and clear documentation on data sources, preparation processes, mathematical models, dashboards, and other business intelligence activities.
  • Data Management: Ensure data quality, integrity, and security. Develop and implement processes for data collection, cleaning, and preparation.
  • Research & Innovation: Stay current with the latest industry trends, tools, and technologies. Explore and implement new methodologies to enhance data analysis capabilities.

What you need
Education and Experience:

  • Bachelor's degree or equivalent in computer science, statistics, mathematics, engineering, or a related field required.
  • Minimum of 3 years' experience as a data analyst, data scientist, or related roles required.
  • Experience with and knowledge of the healthcare delivery system and the health insurance industry preferred.
  • Master's degree or higher preferred.

Knowledge/Skills/Abilities

  • Technical Skills: Proficiency in programming languages such as Python or R. Experience with data manipulation tools (e.g., SQL, pandas). An understanding of data warehouse structures, data extraction tools, analytics software and methods, and data modeling. Experience with big data and cloud platforms (e.g., AWS, Azure, Google Cloud). Ability to identify and make sense of rich data sources, manage large amounts of data, merge datasets, ensure consistency of datasets, graphically portray data to gain insights, build statistical models, understand data and model shortcomings, and effectively communicate findings.
  • Data Visualization: Familiarity with data visualization tools (e.g., Tableau, Power BI). Demonstrated experience with creating accessible, insightful, compelling, and branded data visualizations.
  • Analytical Skills: Strong analytical and problem-solving abilities. Ability to interpret complex data and provide actionable insights. Ability to apply, validate, and interpret results in a variety of machine learning contexts.
  • Communication Skills: Excellent verbal, visual, and written communication skills. Ability to present complex data and insights to non-technical stakeholders effectively.
  • Decision Making: Adept at identifying underlying mathematical and statistical assumptions of a given dataset or algorithm and to implement and interpret results appropriately. Ability to make decisions using independent judgment and creativity to resolve issues and overcome roadblocks.
  • Collaboration: Ability to work collaboratively with strong interpersonal skills and a proactive attitude.

Compensation
$108,640 - $135,800
Exempt Grade IT&S 17
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Blue Cross and Blue Shield of Kansas offers excellent competitive compensation with the goal of retaining and growing talented team members. The compensation range for this role is a good faith estimate, it is estimated based on what a successful candidate might be paid. All offers presented to candidates are carefully reviewed to ensure fair, equitable pay by offering competitive wages that align with the individual's skills, education, experience, and training. The range may vary above or below the stated amounts.
Our Commitment to Connection and Belonging
At Blue Cross and Blue Shield of Kansas, we are committed to fostering a culture of connection and belonging, where mutual respect is at the foundation of our workplace. We provide equal employment opportunities to all individuals, regardless of race, color, religion, belief, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical or mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military or veteran status, family or parental status, or any other characteristic protected by applicable law.
Blue Cross and Blue Shield of Kansas conducts pre-employment drug screening, criminal conviction check, employment verifications and education as part of a conditional offer of employment.
Originally posted on Himalayas

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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