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4 дня назад

Data Scientist II - Gen AI/Python/AWS/SQL

73 300 - 150 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist II - Gen AI/Python/AWS/SQL (AI, Machine Learning & Advanced Analytics): Developing proof-of-concept applications, predictive models, and generative AI solutions from large, integrated datasets with an accent on statistical modeling, SQL-based data extraction, and actionable business insights. Focus on building and deploying machine learning solutions, automating analytics pipelines, integrating data from multiple systems, and mentoring lower-level data science peers.

Location: Chattanooga, Tennessee, USA; hybrid schedule with 3 days per week onsite

Salary: $73,300–$150,500 per year

Company

hirify.global is a Fortune 500 provider of employee benefits and service solutions, with 10,000 employees supporting more than 39 million people worldwide.

What you will do

  • Develop and evaluate machine learning, generative AI, predictive modeling, optimization, simulation, and statistical solutions.
  • Build proof-of-concept applications and integrate AI solutions into existing business processes through automation.
  • Integrate large volumes of data from DB2, SQL Server, Web API, Teradata, and other sources to create analysis-ready data assets.
  • Apply validation, aggregation, reconciliation, data mining, scoring, clustering, and other analytical methods.
  • Interpret results and communicate actionable findings to managers and business leadership.
  • Provide support, training, and mentorship to lower-level data science peers.

Requirements

  • Bachelor’s degree in a quantitative field is required; a master’s degree is preferred.
  • Four years of professional experience or equivalent relevant experience is preferred.
  • Strong capability in at least two core data science areas, including programming and process automation, data visualization, or statistics and statistical modeling.
  • Experience with machine learning algorithms, feature selection and extraction, end-to-end model development, and deployment.
  • Advanced SQL skills, including complex joins, troubleshooting, database exploration, and logical data modeling across multiple sources.
  • Demonstrated communication, prioritization, attention to detail, and the ability to work with senior management and executive leadership.

Nice to have

  • Experience with DevOps, automation, data mining, web scraping, object-oriented software, or API and database integrations.
  • Experience in financial services.
  • Leadership, coaching, mentoring, change management, and proof-of-concept prototyping experience.
  • Master’s degree in a quantitative field.

Culture & Benefits

  • Award-winning culture with a focus on inclusion and diversity.
  • Health, vision, dental, short- and long-term disability, and mental health support.
  • Paid time off, including paid volunteer time.
  • Performance-based incentive plans and a 401(k) contribution of up to 9.5%.
  • Career advancement opportunities, tuition reimbursement, and student loan repayment options.
  • Flexible work environments.

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