Finfare Logo

Finfare

Senior Data Scientist

Reposted 3 Days Ago
Easy Apply
In-Office
Irvine, CA
130K-170K Hourly
Senior level
Easy Apply
In-Office
Irvine, CA
130K-170K Hourly
Senior level
As a Senior Data Scientist, lead the development of conversational AI systems, data pipelines, and ML models to drive business outcomes and innovation while collaborating with cross-functional teams.
The summary above was generated by AI

About Conciergi AI

Are you eager to make a significant impact in the ever-evolving AI landscape? Join Conciergi AI, a dynamic leader in AI innovation, as a Senior Data Scientist. You’ll work alongside a top-tier AI team to harness data, advanced analytics, and cutting-edge models to fuel strategic growth and deliver real-world impact. This is your chance to lead data-driven transformation, build intelligent systems, and push the boundaries of conversational AI and automation.

We seek a versatile expert with deep proficiency in conversational AI, LLMs, agentic AI, retrieval systems, and end-to-end ML development, combined with a relentless drive to learn, experiment, and solve complex problems. From designing RAG-powered chatbots to securing data pipelines, you’ll own critical initiatives that power our AI-enabled operators and customer solutions. Please note that we are a fully on-site environment based in Irvine, CA. For the right candidate, we are open to potentially considering remote/hybrid arrangements and visa sponsorship opportunities.

Key Responsibilities:

  • Design, build, and refine conversational AI systems using retrieval-augmented generation (RAG), combining large language models (LLMs) with vector search and retrieval.
  • Develop data ingestion and embedding pipelines to support scalable, efficient information retrieval.
  • Fine-tune and adapt LLMs for domain-specific use cases, covering prompt engineering, instruction tuning, and low-rank adaptation (LoRA).
  • Integrate AI models into CRMs, workflow platforms and vendor management systems.
  • Own the end-to-end development of machine learning algorithms, from data collection and feature engineering to model training, validation, and performance tuning.
  • Research and prototype emerging ML architectures and retrieval strategies to enhance performance.
  • Resolve and rerank RAG’s training material data for a single source of truth.
  • Translate business requirements into robust, data-driven technical solutions with measurable outcomes.
  • Collaborate with engineering teams to deploy, scale, and monitor AI systems across the organization.
  • Identify new opportunities to embed machine learning into business processes and workflows.
  • Partner with Product, Marketing, Finance, Risk, and Operations to define and track key performance metrics.
  • Continuously improve data pipelines for accuracy, accessibility, and scalability.
  • Support cross-functional data science initiatives and perform additional duties as needed.
  • Other duties as assigned.

Qualifications & Requirements:

  • Education: Bachelor’s degree in a quantitative or technical field; Master’s or Ph.D. preferred.
  • 8+ years of professional experience in data science, AI, or applied machine learning.
  • Proven experience in designing and building Voice AI systems and/or chatbots, including speech recognition, conversational agents, and real-time dialogue models.
  • Hands-on proficiency with leading machine learning and deep learning frameworks, such as LangChain, Hugging Face, TensorFlow, PyTorch, Keras, scikit-learn, and pandas.
  • 7+ years of strong programming expertise in Python/Pyspark and SQL, with proven experience deploying AI solutions in cloud environments (AWS or Google Cloud Platform).
  • 2+ years of practical experience working with MCP, LLMs, generative AI, and conversational AI frameworks (e.g., LangChain, LangGraph, RAG, Vector Databases, AutoGen, CrewAI).
  • 5+ years of specialization in at least one area of advanced modeling - predictive analytics, recommendation engine, reinforcement learning, natural language processing (NLP), or causal inference.
  • 4+ years of experience translating complex AI and data science concepts into tangible business outcomes, including stakeholder engagement and value quantification.
  • 4+ years leading end-to-end AI solution delivery, from data architecture and model orchestration to front-end integration and user adoption.
  • Demonstrated excellence in communication, storytelling, and customer engagement, with the ability to present technical insights in a clear and impactful manner.
  • Experience developing agentic AI systems for conversational analytics, autonomous reporting, or intelligent decision support.
  • Proven ability to design, train, and deploy machine learning models for real-world applications.
  • Strong expertise in data acquisition, preprocessing, and quality assurance for enterprise or industry-scale use cases.

Bonus Points:

  • Strong data analysis and visualization skills.
  • Practical knowledge of data engineering.
  • A proactive and open mindset with a willingness to learn and adapt to emerging technologies and techniques.

Compensation

The compensation for this position is $130k - $190k+ (depending on experience).

Benefits at Conciergi AI

  • Competitive health, vision, and dental benefits (covering 100% premium for employee and all dependent(s))
  • 401K (with employer matching) 
  • Health and wellness reimbursement
  • Catered lunches 5x times a week
  • Work sponsorship (if applicable)
  • Other employee perks

As part of our dedication to the diversity of our workforce, Conciergi AI is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances.

Top Skills

AWS
Google Cloud Platform
Hugging Face
Keras
Langchain
Pandas
Pyspark
Python
PyTorch
Scikit-Learn
SQL
TensorFlow

Finfare Irvine, California, USA Office

Irvine, Irvine, CA, United States, 92618

Similar Jobs

2 Days Ago
Remote or Hybrid
8 Locations
168K-297K Annually
Senior level
168K-297K Annually
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The role involves analyzing large datasets with SQL and Python, designing experiments, visualizing data, and influencing product strategies to drive business growth.
Top Skills: AirflowAmplitudeDatabricksGrowthbookLaunchdarklyLookerModePrefectPythonSnowflakeSQLTableau
13 Days Ago
In-Office or Remote
8 Locations
168K-297K Annually
Senior level
168K-297K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Analyze large datasets to provide actionable insights, design experiments, communicate findings, and lead cross-functional projects in a growth-focused data science role.
Top Skills: AirflowAmplitudeDatabricksGrowthbookLaunchdarklyLookerModePrefectPythonSnowflakeSQLTableau
4 Days Ago
In-Office or Remote
8 Locations
168K-297K Annually
Senior level
168K-297K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Senior Data Scientist will support Block's AI, Data, and Analytics team, focusing on payment analytics, A/B testing, and strategic analysis to optimize financial services.
Top Skills: LookerPythonSQL

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account