4 Statistical Modeling jobs in San Jose

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**Job Description:**
**Position Overview:** We are looking for a highly skilled Software Automation Engineer to join our team and take ownership of automating cloud billing processes across multiple cloud providers. This role combines software engineering with financial operations (FinOps), aiming to create seamless billing automation, enhance transparency and accountability, and develop tools for optimal cost utilization. The successful candidate will build custom automation solutions, develop insightful dashboards, and analyze billing data to optimize cloud spending.
**Key Responsibilities:**
+ **Cloud Billing/Resource Automation Development:** Design, develop, and implement automation solutions to streamline and optimize billing processes across major cloud platforms (AWS, Azure, GCP). Use programming and scripting skills to create efficient and scalable automation tools.
+ **Billing Transparency & Accountability:** Develop systems that ensure full transparency and accountability in cloud billing, ensuring data accuracy and alignment with the organization's financial goals. Build processes that provide visibility into cost allocation and consumption trends.
+ **Dashboard Creation & Visualization:** Work closely with stakeholders to design, build, and maintain interactive dashboards to display billing insights. Create user-friendly, real-time visualizations of cloud costs to empower teams to make informed decisions.
+ **Data Analysis & Optimization:** Utilize strong analytical skills to examine billing data, identify inefficiencies, and recommend solutions for optimal cloud cost utilization. Collaborate with the FinOps and engineering teams to implement cost-saving measures.
+ **Software Development for Financial Tools:** Build custom software solutions for monitoring and managing cloud costs, with an emphasis on automation and scalability. Improve the financial oversight and reporting infrastructure for better operational efficiency.
+ **Collaboration Across Teams:** Engage with cross-functional teams, including Finance, Engineering, and Operations, to ensure that the cloud billing system aligns with operational usage, budget planning, and cost allocation processes.
+ **Continuous Improvement & Innovation:** Stay on top of the latest technologies and best practices in both cloud billing automation and financial software development. Implement enhancements and new features to improve billing accuracy, efficiency, and cost management.
**Technical Skills:** Proficiency in cloud platforms (AWS, Azure, GCP) and their respective billing APIs. Strong programming skills in languages like Python, Java, or Go. Working experience with Big Query / Looker is a plus along with GenAI capabilities.
Experience : Bachelor's and 12+ years of related experience
**Additional Job Description:**
**Compensation and Benefits**
The annual base salary range for this position is $141,000 - $225,000
This position is also eligible for a discretionary annual bonus in accordance with relevant plan documents, and equity in accordance with equity plan documents and equity award agreements.
Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.
**Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.**
**If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.**
Welcome! Thank you for your interest in Broadcom!
We are a global technology leader that designs, develops and supplies a broad range of semiconductor and infrastructure software solutions.
For more information please visit our video library ( and check out our Connected by Broadcom ( series.
Follow us on Linked In Broadcom Inc ( .

At Inceptive, you will drive development forward that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software.

You will drive end-to-end design and quantification of biological datasets that enable AI models to design RNA molecules. You will work together with experimentalists to troubleshoot and scale assays. Your code will solve immediate problems, create scalable data pipelines, and form foundational tooling, as the occasion requires.

Your Mission, should you choose to accept it

• Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise
• Work closely with experimental scientists to design experiments measuring diverse properties of designed RNAs
• Analyze, visualize, and communicate results, providing rapid feedback to optimize the utility of datasets for training and evaluating ML models
• Create, deploy, and refine tools for efficient, reliable data analysis in collaboration with software engineers
• Collaborate on validation of candidate therapeutic RNA molecules through rapid in vitro and in vivo testing

Qualifications

• 3+ years experience applying computational methods to biological data
• Experience working with experimentalists to deliver quantitative, statistically robust results from biological assays
• Experience with a wide variety of data types encountered in molecular and cellular biology, such as sequencing, microscopy, chromatography, and time-course data
• Highly capable programmer fluent in scientific Python ecosystem
• Availability to work with team members across US and Europe, with meetings starting at 8am PT
• Readiness to travel several times a year for company retreats and business events
• We value the benefits of in-person collaboration and expect candidates to primarily work at our office locations

Preferred technical skills

• PhD in computer science, computational biology, or a related field, or equivalent practical experience (e.g., industry experience, research, or advanced technical expertise)
• Experience with professional software engineering, including cloud computing, git workflows, SQL
• Knowledge of biochemistry, molecular/cell biology, and drug development
• Track record of creating analytical methods and/or software tools used by wider community, eg, via open-sourcing
• Proven ability to push the limits of data generation by deconstructing and optimizing instrumentation and assays

Compensation

$135K - $240K + Bonus + Equity

What we offer

• A competitive compensation package
• 30 days paid vacation per year
• Comprehensive health insurance and 401K with company match for US based Beginners, with comparable benefits for those based in other countries
• Quarterly company-wide retreats
• Monthly wellness benefit
• Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland
• Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone
• A buddy to help you get settled

*Varies by country

At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.

We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations. We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for.

It is the policy of Inceptive to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Inceptive prohibits any such discrimination or harassment.

Inceptive is also committed to welcoming and providing accommodations to people with disabilities. Please let us know if you need any accommodations throughout your application process.

Senior Data Scientist, Product Ecosystem Analysis

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Senior Data Scientist, Product Ecosystem Analysis

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Join to apply for the Senior Data Scientist, Product Ecosystem Analysis role at Google

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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA .Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master's degree).
• Experience in the Online Publisher/Media, Internet Content Platform Ecosystem space.
  
  

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
  

About The Job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Applied Research and Strategy is responsible for horizontal analysis and methodology development for DS impact and informs Knowledge and Informations strategic decisions. The team drives strategic insights for Knowledge and Informations leaders across external landscape, growth and long term. The team develops cross-Knowledge and Informations data science strategies and approaches, creates cross-product metrics, and ensures data quality on new methodologies and tools to enable insights.

The US base salary range for this full-time position is $156,000-$29,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Help solve problems, take ownership of open-ended ambiguous business problems to reach an optimal solution, and perform analysis utilizing tools (e.g., SQL, R, Python).
• Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.
• Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team, and translate analysis results to business insights or product improvement opportunities.
• Build and prototype analysis and business cases to provide insights, develop knowledge of Google data structures and metrics, advocating for changes where needed for product development.
• Influence across teams to align resources and direction.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Product Management and Engineering
• Industries Information Services and Technology, Information and Internet

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