Data Scientist

Thrivent-posted 2 months ago
$118,105 - $159,788/Yr
Full-time • Mid Level
5,001-10,000 employees
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The Data Scientist role at Thrivent represents a significant step forward in the data science career ladder, designed for professionals who combine deep technical expertise with a strong understanding of business applications. In this pivotal role, a Data Scientist will lead medium to complex data projects, applying advanced analytical techniques, predictive modeling, and machine learning algorithms to deliver actionable business insights, providing mentorship to junior colleagues while also collaborating with senior team members on strategic projects. This position demands a higher level of autonomy in data exploration, analysis, and solution implementation, requiring not only technical acumen but also the ability to understand and align with the company’s business goals. The Data Scientist’s contributions will be key in driving data-informed decisions, influencing business strategies, and shaping the data science culture within the organization. This role is ideal for individuals with specialized strengths in data processing and feature engineering for ML workflows or marketing attribution modeling, bringing advanced domain knowledge into enterprise-level modeling initiatives.

  • Independently manage and lead a range of data science projects, applying advanced critical thinking and technical skills to both simple and complex challenges.
  • Lead the analysis of complex business challenges, developing and proposing sophisticated data-driven solutions.
  • Manage and optimize the collection and preparation of diverse data sources, employing advanced data integration, feature engineering, and pipeline design techniques.
  • Perform advanced exploratory data analysis (EDA) to extract deep insights, using sophisticated statistical methods and visualization techniques.
  • Conduct and oversee complex hypothesis testing and model validation, utilizing a variety of techniques to ensure robustness and reliability of models.
  • Develop and implement advanced predictive models using cutting-edge machine learning algorithms.
  • Generate strategic insights that influence business decisions and lead the preparation and presentation of detailed reports and analyses.
  • Engage proactively with business stakeholders, leading discussions and managing expectations.
  • Utilize critical thinking to challenge and refine business strategies.
  • Stay at the forefront of emerging trends in data science and lead internal training sessions.
  • Take ownership of significant data science projects within the company.
  • Stay informed of the latest regulatory trends and governance practices in modeling, machine learning, and artificial intelligence.
  • Bachelor’s degree in Data Science or a related quantitative field such as Statistics, Mathematics, Computer Science.
  • 3-5 years of relevant experience in data science or a closely related field.
  • Proficiency in data science languages, predominantly Python.
  • Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy in Python).
  • Deep experience working with both structured and unstructured datasets.
  • Strong skills in managing, processing, and analyzing large datasets.
  • Advanced knowledge of SQL databases.
  • Skills in cleaning and preparing data for analysis.
  • Deep understanding of statistical methods and machine learning algorithms.
  • Expertise in creating insightful visualizations and interactive dashboards.
  • Experience with big data tools and frameworks like Spark.
  • Knowledge of model deployment, monitoring, and maintenance.
  • Understanding of the financial services and insurance products that Thrivent operates in.
  • Basic project management skills to oversee data projects from conception to delivery.
  • Proficiency in using version control systems, such as Git.
  • Master’s degree or PhD in a quantitative field.
  • Various bonuses (including, for example, annual or long-term incentives).
  • Medical, dental, and vision insurance.
  • Health savings account.
  • Flexible spending account.
  • 401k.
  • Pension.
  • Life and accidental death and dismemberment insurance.
  • Disability insurance.
  • Supplemental protection insurance.
  • 20 days of Paid Time Off each year.
  • Sick and Safe Time.
  • 10 paid company holidays.
  • Volunteer Time Off.
  • Paid parental leave.
  • EAP.
  • Well-being benefits.
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