2,367 Data And Research jobs in the United States
AI Data Science Research Specialist
Posted 11 days ago
Job Viewed
Job Description
Senior Data Scientist, Research, Operations Data Science

Posted today
Job Viewed
Job Description
+ Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
+ 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
**Preferred qualifications:**
+ 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
+ Experience in designing and building optimization, simulation, and probabilistic decision-making models.
+ Experience in designing and building statistical models or physical models for energy consumption.
+ Experience in the computer hardware industry.
Operations Data Science (ODS) is a team of Data Science and Business Analysis experts, who provide model-based decision support to scale Google's Technical Infrastructure optimally.
In this role, you will lead data modeling and estimation efforts for our Google Cloud Carbon Footprint product. You will collaborate with internal teams to gather, analyze, and interpret data related to Google Cloud software usage, resource consumption, energy consumption, and carbon emissions. You will work to enhance the value of the Google Cloud Carbon Footprint by more accurately estimating the energy consumption and carbon emissions of customers' workloads and projects. You will build problem-solving tools to clearly identify energy and carbon-savings opportunities for customers. Additionally, you will quantify the opportunity size of potential Cloud carbon-efficiency projects and prioritize these to build Cloud features that help customers reduce their emissions.
The Google Climate Operations team is responsible for ensuring Google achieves 24/7 Carbon-Free Energy and Zero emissions for our global operations and value chain by 2030. The team works cross-functionally across our global operations and hardware supply chains to develop and scale new solutions on energy and carbon. It also leads efforts to create the external market environments necessary to drive decarbonization in a way that facilitates these goals and enables others to do so as well.
The US base salary range for this full-time position is $166,000-$244,000 + 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:**
+ Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
+ Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
+ Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
+ Collaborate with subject matter experts to combine hardware insights with energy and emissions data to prioritize carbon-reduction efforts in Cloud.
+ Develop, maintain, support, and enhance models and estimation tools for the energy-use and carbon-footprint of Google Cloud customer workloads.
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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Senior Data Scientist, Research, Operations Data Science

Posted today
Job Viewed
Job Description
+ Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
+ 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
**Preferred qualifications:**
+ 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
+ Experience in designing and building optimization, simulation, and probabilistic decision-making models.
+ Experience in designing and building statistical models or physical models for energy consumption.
+ Experience in the computer hardware industry.
Operations Data Science (ODS) is a team of Data Science and Business Analysis experts, who provide model-based decision support to scale Google's Technical Infrastructure optimally.
In this role, you will lead data modeling and estimation efforts for our Google Cloud Carbon Footprint product. You will collaborate with internal teams to gather, analyze, and interpret data related to Google Cloud software usage, resource consumption, energy consumption, and carbon emissions. You will work to enhance the value of the Google Cloud Carbon Footprint by more accurately estimating the energy consumption and carbon emissions of customers' workloads and projects. You will build problem-solving tools to clearly identify energy and carbon-savings opportunities for customers. Additionally, you will quantify the opportunity size of potential Cloud carbon-efficiency projects and prioritize these to build Cloud features that help customers reduce their emissions.
The Google Climate Operations team is responsible for ensuring Google achieves 24/7 Carbon-Free Energy and Zero emissions for our global operations and value chain by 2030. The team works cross-functionally across our global operations and hardware supply chains to develop and scale new solutions on energy and carbon. It also leads efforts to create the external market environments necessary to drive decarbonization in a way that facilitates these goals and enables others to do so as well.
The US base salary range for this full-time position is $166,000-$244,000 + 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:**
+ Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
+ Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
+ Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
+ Collaborate with subject matter experts to combine hardware insights with energy and emissions data to prioritize carbon-reduction efforts in Cloud.
+ Develop, maintain, support, and enhance models and estimation tools for the energy-use and carbon-footprint of Google Cloud customer workloads.
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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Senior Data Scientist, Research, Operations Data Science
Posted 9 days ago
Job Viewed
Job Description
+ Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
+ 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
**Preferred qualifications:**
+ 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
+ Experience in designing and building optimization, simulation, and probabilistic decision-making models.
+ Experience in designing and building statistical models or physical models for energy consumption.
+ Experience in the computer hardware industry.
Operations Data Science (ODS) is a team of Data Science and Business Analysis experts, who provide model-based decision support to scale Google's Technical Infrastructure optimally.
In this role, you will lead data modeling and estimation efforts for our Google Cloud Carbon Footprint product. You will collaborate with internal teams to gather, analyze, and interpret data related to Google Cloud software usage, resource consumption, energy consumption, and carbon emissions. You will work to enhance the value of the Google Cloud Carbon Footprint by more accurately estimating the energy consumption and carbon emissions of customers' workloads and projects. You will build problem-solving tools to clearly identify energy and carbon-savings opportunities for customers. Additionally, you will quantify the opportunity size of potential Cloud carbon-efficiency projects and prioritize these to build Cloud features that help customers reduce their emissions.
The Google Climate Operations team is responsible for ensuring Google achieves 24/7 Carbon-Free Energy and Zero emissions for our global operations and value chain by 2030. The team works cross-functionally across our global operations and hardware supply chains to develop and scale new solutions on energy and carbon. It also leads efforts to create the external market environments necessary to drive decarbonization in a way that facilitates these goals and enables others to do so as well.
The US base salary range for this full-time position is $166,000-$244,000 + 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:**
+ Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
+ Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
+ Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
+ Collaborate with subject matter experts to combine hardware insights with energy and emissions data to prioritize carbon-reduction efforts in Cloud.
+ Develop, maintain, support, and enhance models and estimation tools for the energy-use and carbon-footprint of Google Cloud customer workloads.
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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Research Staff, Data Science
Posted 3 days ago
Job Viewed
Job Description
Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram's voice-native foundational models - accessed through APIs or as self-managed software - due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram
The Opportunity
Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.
The Role
Deepgram is currently looking for seasoned Data Scientists with demonstrated experience solving hard data problems while exploring research frontiers to join our Research Staff. Conversational audio presents incredibly rich scientific, engineering, and infrastructure challenges that are orders of magnitude harder than working with text. As a Member of the Research Staff, you will help us to build an industrial "data factory" that will be used to power the next generation of Voice AI systems - unlocking the creation of models that go beyond basic transcription and comprehension, capturing nuanced meanings in complex conversations, adapting robustly to diverse speech patterns, and generating empathic responses with human-like, contextualized speech. You will collaborate closely with our product, engineering, and data teams to build and deploy models in the most scalable voice API on the planet. We look forward to you bringing your expertise, sharing insights from your latest experiments, and collaborating with us to push the boundaries of AI and voice technology.
The Challenge
We are seeking Research Staff who:
- See "unsolved" problems as opportunities to pioneer entirely new approaches
- Can identify the one critical experiment that will validate or kill an idea in days, not months
- Have the vision to scale successful proofs-of-concept 100x
- Are obsessed with using AI to automate and amplify your own impact
What You'll Do
- Drive high performance data acquisition, preparation and synthesis pipelines to generate data for the next generation of speech and language AI foundation models
- Develop advanced characterizations of complex conversational audio utilizing a diverse toolkit of signals processing techniques and deep learning models
- Collaborate with DataOps and Engineering to create automated systems which scale the ability of human annotators to label high value data and provide critical feedback on model outputs
- Build advanced benchmarking methodologies and curated datasets for evaluating conversational voice systems
- Document and present results of data experiments and analysis for internal and external audiences
- Are obsessed with making sense out of complex and/or messy data
- Enjoy building from the ground up and love to create new systems from scratch
- Are passionate about AI and interested in leveraging data to solve hard problems
- Are motivated by the prospect of scaling yourself using automation and AI models
- Experience building data processing pipelines from a blank page and owning the entire data stack including data acquisition, characterization, cleaning, serving and transformation
- Experience and expertise applying statistical methods and deep learning models to understand complex data
- Strong communication skills and the ability to translate complex concepts in simple terms, depending on the target audience
- Strong software engineering skills with particular emphasis on developing clean, modular code in Python and working with Pytorch
- Background in Physics, Mechanical Engineering or Language Processing
- Experience building models
- Speech and audio experience
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!
Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.
We are happy to provide accommodations for applicants who need them.
Online Data Research
Posted today
Job Viewed
Job Description
Job description:
Looking for a freelance opportunity where you can make an impact on technology from the comfort of your home? If you are dynamic, tech-savvy, and always online to learn more, this part-time flexible project is the perfect fit for you!
A Day in the Life of a Personalized Internet Assessor:
- In this role, you'll be analyzing and providing feedback on texts, pages, images, and other types of information for top search engines, using an online tool
- Through reviewing and rating search results for relevance and quality, you'll be helping to improve the overall user experience for millions of search engine users, including yourself.
Join our team today and start putting your skills to work for one of the world's leading search engines.
The estimated hourly earnings for this role are 14 USD per hour.
Required profile:
Qualification path
No previous professional experience is required to apply to this role, however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement.
Basic Requirements
- Working as a freelancer with excellent communication skills in English
- Being a resident in the United States for the last 3 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in the US.
- Active use of Gmail and other forms of social media and experience in the use of web browsers to navigate and interact with a variety of content
- Daily access to a broadband internet connection, a smartphone (Android 5.0, iOS 14 or higher), and a personal computer to work on.
Assessment
In order to be hired into the program, you'll take a language assessment and an open book qualification exam that will determine your suitability for the position and complete ID verification. Don't worry, our team will provide you with guidelines and learning materials before your exam. You will be required to complete the exam in a specific timeframe but at your convenience!
Apply now and earn a $150 bonus when you pass the exam, complete ID verification, submit the acceptance form and all required documents within 7 days. You must also stay active in the program for at least 3 months to qualify.
Company description:
Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands.
What we offer:
Equal Opportunity
All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants' qualifications, merits, competence, and performance without regard to any characteristic related to diversity
Online Data Research
Posted today
Job Viewed
Job Description
About the job Online Data Research
We are looking for an Online Data Researcher who is detail-oriented, analytical, and good at finding things to join our remote team. In this job, you will collect, analyze, and combine information from a wide range of online sources. The best candidate has great research skills, a sharp eye for detail, and the ability to work alone and with others.
Main Duties:
Do thorough and organized online research on a lot of different platforms, databases, and websites.
Gather, check, and arrange both qualitative and quantitative data to meet the needs of a specific project.
Combine your findings into short, clear reports and presentations.
Before including sources, check their credibility and relevance.
Work with project managers and other team members to figure out what information you need.
Keep correct records of the sources and steps you take in your research.
Make sure that all data handling follows company rules and rules about data privacy.
Always improve and update research methods to make them as accurate and efficient as possible.
Keep an eye on new sources of information and trends in the industry that are useful to clients.
Qualifications Needed:
Proven experience in market analysis, data research, or a related field.
Great skills in both speaking and writing.
Very good at analyzing and thinking critically.
Good at using Microsoft Office, Google Workspace, databases, and tools for collecting data.
Great organizational and attention to detail skills.
Ability to meet tight deadlines and work well with little or no supervision.
A strong sense of honesty and a promise to keep data private.
Preferred Qualifications:
A bachelor's degree in business, marketing, information science, or a related field.
Experience with tools for visualizing data, like Tableau and Power BI.
Knowing how to use advanced search tools and Boolean logic.
Experience working from home in the past.
Pay and Benefits:
Pay is competitive, ranging from $25 to $35 per hour, depending on experience.
Flexible hours and the ability to work from home.
Full health, dental, and vision insurance for employees who qualify.
Paid time off (PTO), sick days, and holidays.
Access to online courses and chances to learn more about your field.
The Employee Assistance Program (EAP) can help with mental and emotional issues.
A company culture that values diversity and encourages a healthy work-life balance.
Technology stipend or providing company equipment as needed.
Be The First To Know
About the latest Data and research Jobs in United States !
Online Data Research
Posted 2 days ago
Job Viewed
Job Description
We are looking for an Online Data Researcher who is detail-oriented, analytical, and good at finding things to join our remote team. In this job, you will collect, analyze, and combine information from a wide range of online sources. The best candidate has great research skills, a sharp eye for detail, and the ability to work alone and with others.
Main Duties:
Do thorough and organized online research on a lot of different platforms, databases, and websites.
Gather, check, and arrange both qualitative and quantitative data to meet the needs of a specific project.
Combine your findings into short, clear reports and presentations.
Before including sources, check their credibility and relevance.
Work with project managers and other team members to figure out what information you need.
Keep correct records of the sources and steps you take in your research.
Make sure that all data handling follows company rules and rules about data privacy.
Always improve and update research methods to make them as accurate and efficient as possible.
Keep an eye on new sources of information and trends in the industry that are useful to clients.
Qualifications Needed:
Proven experience in market analysis, data research, or a related field.
Great skills in both speaking and writing.
Very good at analyzing and thinking critically.
Good at using Microsoft Office, Google Workspace, databases, and tools for collecting data.
Great organizational and attention to detail skills.
Ability to meet tight deadlines and work well with little or no supervision.
A strong sense of honesty and a promise to keep data private.
Preferred Qualifications:
A bachelor's degree in business, marketing, information science, or a related field.
Experience with tools for visualizing data, like Tableau and Power BI.
Knowing how to use advanced search tools and Boolean logic.
Experience working from home in the past.
Pay and Benefits:
Pay is competitive, ranging from $25 to $35 per hour, depending on experience.
Flexible hours and the ability to work from home.
Full health, dental, and vision insurance for employees who qualify.
Paid time off (PTO), sick days, and holidays.
Access to online courses and chances to learn more about your field.
The Employee Assistance Program (EAP) can help with mental and emotional issues.
A company culture that values diversity and encourages a healthy work-life balance.
Technology stipend or providing company equipment as needed.
Data Science Lead, Research Analytics
Posted 3 days ago
Job Viewed
Job Description
JOB DESCRIPTION
Make your mark for patients
We are looking for a Data Science Lead, Research Analytics who is creative, curious, and collaborative in our Global Data Science & Analytics team, based in our Cambridge office in Massachusetts , United States. This onsite role requires up to 15% domestic and international travel.
About the role
As a Data Science Lead in Research Analytics, you'll drive analytics solutions that inform compound and antibody discovery for early drug platforms. You'll apply data science and machine learning to diverse datasets-imaging, gene expression, high-throughput screens, and sequencing (e.g., mRNA display)-to identify initial hits and establish early structure-activity relationships. Your work supports the organization's Digital Business Transformation and spans modalities including small molecules, peptides, biologics, and gene therapy. You'll collaborate across departments and with external partners, capturing insights for meta-analysis and communicating results within interdisciplinary teams.
Who you'll work with
Internally, you will collaborate with relevant stakeholders in function areas such as Discovery Biology, Translational Biology, Computational Chemistry, Protein Sciences and fellow data science teams & IT. Externally, you may work with academic institutions and partner with other biotech or technology companies.
What you'll do
- Lead platform development of novel modalities such as peptides, impacting therapeutic projects with data-driven insights using analytics and machine learning on high-dimensional datasets conducted with complex biological assays (e.g. next-generation sequencing, cell-based assays, time-series assays, high-content assays, *-omics assays, etc.).
- Clear communication of outputs & results from analyses for all relevant stakeholders.
- Adapt and design data processes to support the capture and analysis of assay data and metadata and elevate platform data capability.
- Develop workflows that can be used by team members for routine data processing and analysis.
- Active collaboration with relevant stakeholders in function areas such as Discovery Biology, Translational Biology, Computational Chemistry, Protein Sciences and fellow data science teams & IT.
Interested? For this role we're looking for the following education, experience and skills
- PhD in biological, chemical, or data science with strong skills & experience in informatics, statistics, or computer science and demonstrated delivery in the life sciences space
- 8+ years of hands-on experience with data types, file formats, and common metadata used in biology, including high-dimensional experiments such as imaging, or high-throughput experiments such as peptide/biologics display.
- 8+ of experience with machine learning on large / high dimensional datasets including data manipulation, wrangling, and analytics.
- 8+ Experience with machine learning on chemical, sequence, and/or biological features.
- 8+ years of experience with R and/or Python
Preferred
- Prior experience in pharmaceutical industry
- Experience with programmatic querying of relational or graph databases is desirable (SQL, neo4j, etc.)
- Excellent written and oral communication skills demonstrated by publications and conference presentations
This positions reasonably anticipated base salary range is $168,000-220,500 per year. The actual salary offered will consider internal equity and may also vary depending on the candidate's geographic region, job-related knowledge, skills, and experience, among other factors.
Are you ready to 'go beyond' to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!
About us
UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are around 8,500 people in all four corners of the globe, inspired by patients and driven by science.
Why work with us?
At UCB, we don't just complete tasks, we create value. We aren't afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We 'go beyond' to create value for our patients, and always with a human focus, whether that's on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential.
UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.
VP of Data & Research
Posted 2 days ago
Job Viewed
Job Description
POSITION SUMMARY
The Vice President of Research will lead the strategic development of our consulting services for small and medium-sized businesses (SMBs), overseeing all aspects of research and financial planning. This role will be responsible for building and mentoring a new team of analysts within the department. This leader will play a crucial role in delivering insights that empower clients-from 500K to 50M+ in revenue-to make data-driven decisions that drive sustainable growth and operational efficiency.
ABOUT CARDONE VENTURES
Our mission is to help business owners achieve their personal, professional, and goals through the growth of their businesses. We work in dozens of verticals and provide strategic business guidance through courses, live events, partnerships, and investments. Our core values are the backbone of our business and guide our hiring process: we are inspirational, accountable, transparent, disciplined, aligned, and results oriented. This company operates nationally and is growing by the day.
SUCCESS LOOKS LIKE
- Establishes and leads a high-performing research and analytics team that consistently delivers strategic insights and financial planning support aligned with client growth objectives.
- Develops and implements scalable research frameworks, financial models, and forecasting tools that become foundational to how Cardone Ventures serves and supports SMB clients.
- Drives a culture of data excellence by creating and enforcing high standards for data quality, governance, and actionable reporting, ensuring clients receive consistent, accurate, and relevant insights.
- Lead the recruitment, training, and development of a high-performing analytics team capable of delivering actionable insights and tailored growth strategies for SMB clients.
- Conduct comprehensive market and industry analysis to drive strategic decision-making and business growth.
- Leverage advanced data analytics to create custom roadmaps and strategies that help our clients grow sustainably, optimize operations, and scale effectively.
- Design and implement sophisticated financial models and forecasting tools that support decision-making and business growth, focusing on risk management, budgeting, and long-term financial planning.
- Establish and maintain rigorous data governance and quality standards, ensuring that all research and analytics outputs are accurate, consistent, and compliant with industry best practices.
- Use multi-industry insights and best practices to guide SMB clients across various sectors, adapting strategies to address the unique challenges and opportunities of each client.
- Define key performance indicators (KPIs) and metrics to assess the success of strategic initiatives, ensuring that all data-driven efforts lead to measurable improvements in client outcomes.
- Stay at the forefront of emerging technologies and integrate them into the company's analytics processes to enhance forecasting accuracy and drive innovative solutions for clients.
- Strong cross-industry background with experience tailoring financial and analytical insights across diverse sectors.
- Strong ability to align analytics insights with business objectives, providing strategic guidance that supports clients' growth and operational success.
- Ability to leverage emerging technologies, such as machine learning and AI, to enhance analytics capabilities, improve forecasting, and deliver cutting-edge solutions to clients.
- Proficiency in defining and tracking KPIs to measure the impact of analytics initiatives, ensuring continuous improvement and alignment with client objectives and overall business goals.
• 5-10 years overseeing analytics, strategy, or financial teams, with a proven track record of conducting market research & industry analysis.
• 5-10 years with a background in data analysis, forecasting, and trend identification to drive strategic decision-making.
10X TOTAL REWARDS
We offer a comprehensive benefits package for full-time employees that includes:
- Medical, dental, and vision for FT positions and their dependents
- Vacation and sick time policy that increases based on tenure with the company
- Employee Assistance Program through Guardian
- 401k with up to 3% Company match
- Pet Insurance through SPOT for your 10X pets!
- Competitive parental leave policy: 100% paid - 8 weeks for primary caregiver, and 4 weeks for secondary caregiver + 1 month remote for both
- Employee wellness initiatives including a 100% paid for gym membership and access to discounts on local meal prep services
- Professional Development through reimbursements for courses/certifications outside of CV, and a 10X Mentorship Program
- Continued Education: we provide team members complete access to our range of educational resources valued at over $250 000 in areas such as Sales, Operations, People, Finance and Marketing
- Uncapped Commission Potential: all of our team members have the opportunity to sell our Products/Services (and are trained on how to do so). We have several examples of non-sales team members earning well over 20,000 in annual commission
- Prolonged periods sitting at a desk and working on a computer
COMMITMENT TO DIVERSITY
As an equal opportunity employer committed to meeting the needs of a multigenerational and multicultural workforce Cardone Ventures recognizes that a diverse staff, reflective of our community, is an integral and welcome part of a successful and ethical business. We hire local talent at all levels regardless of race, color, religion, age, national origin, gender, gender identity, sexual orientation or disability, and actively foster inclusion in all forms both within our company and across interactions with clients, candidates and partners.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.