4 дня назад
Data Scientist II - Gen AI/Python/AWS/SQL
73 300 - 150 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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