Analyze large and diverse datasets to uncover insights, develop/train/deploy machine learning models, design data preprocessing pipelines, and create visualizations and reports. Collaborate with cross-functional teams to build predictive models, recommendation systems, and optimization algorithms to drive business improvements.
This is a remote position.
*** This position is only for candidates based in Texas or California (U.S.A.)***
At Advancio, we are passionate about technology and its ability to transform the world. We are rapidly expanding and building a company where we serve exceptional businesses, hire top talent, and have a lot of fun doing what we love!
Job Summary:
We are seeking an experienced Data Scientist to extract actionable insights from complex datasets and develop advanced models to drive business growth. The ideal candidate has a deep understanding of machine learning, statistical analysis, and data visualization, with the ability to translate findings into impactful solutions.
What will you do:
- Analyze large and diverse datasets to uncover patterns, trends, and actionable insights.
- Develop, train, and deploy machine learning models to solve complex business problems.
- Collaborate with cross-functional teams to identify opportunities for data-driven improvements.
- Build and maintain predictive models, recommendation systems, or optimization algorithms.
- Design and implement data preprocessing pipelines, ensuring data quality and accessibility.
- Create compelling visualizations and reports to communicate findings effectively to stakeholders.
- Stay updated with the latest advancements in data science, machine learning, and AI technologies.
Requirements
- 5+ years of professional experience in data science or related fields.
- Advanced English communication skills, both verbal and written.
- Proficiency in programming languages such as Python or R, with experience in data manipulation libraries (e.g., Pandas, NumPy).
- Expertise in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Strong statistical analysis skills and knowledge of algorithms and data structures.
- Experience with SQL and working with relational databases.
- Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Ability to create data visualizations using tools like Tableau, Power BI, or Matplotlib.
Similar Jobs
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Lead complex real estate tax engagements, provide strategic tax guidance, mentor team members, and drive business development through client relationships and networking.
Top Skills:
Tax Technology Tools
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Manage and review complex tax returns for construction contractors, oversee tax compliance, conduct tax research, and provide advisory services. Supervise staff and manage multiple engagements.
Top Skills:
Cch AxcessProsystem Fx
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Manage outsourced accounting services for healthcare clients, supervise teams, ensure quality reporting, and provide consulting services to improve operations.
Top Skills:
Bill.ComIntaactMicrosoft Office SuiteNetSuiteQuickbooks Online
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
