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2 дня назад

Senior Manager, Operations Data Analytics (AI)

123Β 200 - 184Β 800$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ USA)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior/lead
Английский
b2
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR

Senior Manager, Operations Data Analytics (AI): Leading the development of best-in-class analytics solutions and a team of analysts to build operations strategy, inform decision-making, and monitor execution with an accent on coordinating and optimizing customer engagement channels and AI solutions. Focus on leveraging advanced analytics and AI to drive incremental operations performance and business value, designing rapid experiments, and standardizing metrics across operations.

Location: Remote (US-based)

Salary: $123,200–$184,800 USD

Company

hirify.global is a leading tech-enabled digital finance platform that provides financial products and services for everyday Americans.

What you will do

  • Lead end-to-end analytics projects, influencing and executing operations strategy across cross-functional teams.
  • Lead the development of models for coordination and optimization across operations functions and customer engagement channels, including Originations, Fraud, Servicing, Complaints, Collections & Recoveries, Phone, Chat, Email, and AI Solutions.
  • Develop tools and provide training to foster an analytical mindset within the Operations Strategy team for daily business decisions.
  • Identify opportunities to leverage advanced analytics and AI to drive incremental operations performance and business value.
  • Lead the standardization of metrics across operations to enhance decision-making by operations leaders and teams.
  • Lead the design and monitoring of tests to support an aggressive learning and optimization agenda across pre-delinquency, collections, and recoveries initiatives.

Requirements

  • 7+ years of experience in data science or analytics, with 3+ years in people management.
  • BS or MS in Statistics, Mathematics, Data Science, or an equivalent quantitative field.
  • Experience developing custom models based on an understanding of underlying data and business problems.
  • Experience with causal inference measurement (A/B and multivariate testing) and time series analysis methodologies.
  • Strong organizational skills with a demonstrated ability to manage multiple priorities and complex projects.
  • Proficiency with modern analytical tools and languages like Python, R, SQL, and building visualizations with Tableau.
  • English: B2 required.
  • Work authorization: Must be legally authorized to work in the US.

Nice to have

  • Experience working with financial services operations teams.

Culture & Benefits

  • Flexible, remote work environment.
  • 401(k) matching program and generous paid time off.
  • Medical, dental, and vision coverage, and tuition reimbursement.
  • Additional benefits include DoorDash DashPass, Figo pet insurance, Rocket Lawyer, and access to LinkedIn Learning.
  • Access to Fringe, a lifestyle benefits platform allowing employees to choose rewards from various vendors.
  • Commitment to fostering a fair and equitable workplace with an emphasis on diversity, inclusion, and employee growth.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’

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