Qureos Mentor

Andiamo

<div>
 Data Scientist
 
 
 
 About The Role
 
 
 
 When you work in this role, you&rsquo;ll tackle tough problems alongside other scientists and engineers&mdash;people who will challenge your ideas, share knowledge, and collaborate on impactful projects. You&rsquo;ll be doing work that matters, developing solutions to complex real-world problems using data, invention, and rigorous inquiry.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Independently research and develop hypotheses based on diverse real-world datasets.
 </li>
 <li>
 Conduct literature reviews to apply cutting-edge methodologies for extracting meaningful signals from data.
 </li>
 <li>
 Partner with engineers and stakeholders to rigorously explore and test your theories.
 </li>
 <li>
 Stay engaged in the academic community by joining reading circles and attending seminars to keep up with the latest research.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 1&ndash;5+ years of experience in applied data analysis and prediction, preferably in an industry setting.
 </li>
 <li>
 Degree in a technical or quantitative discipline such as statistics, mathematics, physics, electrical engineering, or computer science.
 </li>
 <li>
 Proficiency in Python and SQL.
 </li>
 <li>
 Experience conducting in-depth research projects involving real-world data.
 </li>
 <li>
 Ability to think independently, approach analysis creatively, and communicate complex ideas clearly.
 </li>
 <li>
 Background in finance is not required&mdash;strong research skills are most important.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life and disability insurance.
 </li>
 <li>
 Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms.
 </li>
 <li>
 Learning: Tuition reimbursement, conference and training sponsorship.
 </li>
 <li>
 Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves.
 </li>
 <li>
 Hybrid Work Policy: Flexible in-office days with budget for home office setup.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The base pay for this role will be between
 
 $165,000 and $300,000
 
 . This role may also be eligible for additional forms of compensation and benefits such as discretionary bonuses, health and wellness plans, and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation will depend on skills, qualifications, and experience.
 
 
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

Data Scientist - Data-Driven Global Investment Firm

<div>
 Data Scientist &ndash; Product &amp; AI
 
 
 
 About The Role
 
 
 
 We are looking for a
 
 Data Scientist
 
 to help solve complex, high-impact problems in product development and AI. You will work with
 
 large-scale, high-dimensional data sets
 
 , applying statistical methods, machine learning, and experimentation to guide product decisions and improve user experiences. Your insights will influence the direction of features, platforms, and strategies used by thousands of organizations.
 
 
 As a mid-level data scientist, you&rsquo;ll own projects end-to-end: defining success metrics, designing experiments, building predictive models, and communicating findings to cross-functional partners. You&rsquo;ll collaborate with product managers, engineers, and designers to turn raw data into actionable insights that drive measurable business and product outcomes.
 
 
 This role is a chance to move beyond dashboards&mdash;you&rsquo;ll uncover patterns, tell compelling stories with data, and contribute to building scalable data science practices that push the boundaries of what&rsquo;s possible.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Apply Analytical Methods: Use statistical modeling, machine learning, and data visualization to extract insights and guide product strategy.
 </li>
 <li>
 Experiment &amp; Learn: Design, run, and analyze A/B tests and other experiments to evaluate product changes and quantify impact.
 </li>
 <li>
 Build Predictive Models: Develop models that forecast user behavior, product performance, and key metrics.
 </li>
 <li>
 Define Success Metrics: Establish clear goals and KPIs that align product teams around measurable outcomes.
 </li>
 <li>
 Collaborate Across Teams: Partner with engineers, designers, and product leaders to ensure insights are translated into impactful features.
 </li>
 <li>
 Communicate Findings: Present results and recommendations to stakeholders, framing technical insights in clear, actionable terms.
 </li>
 <li>
 Contribute to Data Platforms: Work with engineering partners to improve data pipelines, instrumentation, and experimentation frameworks.
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Professional Experience: Around 5 years of applied data science experience in product analytics, business intelligence, or machine learning.
 </li>
 <li>
 Programming Skills: Proficiency in SQL and Python (or R) for data manipulation, modeling, and analysis.
 </li>
 <li>
 Experimentation: Familiarity with experimental design, causal inference, and A/B testing at scale.
 </li>
 <li>
 Statistical Foundation: Strong grounding in probability, statistics, and data-driven problem solving.
 </li>
 <li>
 Communication: Ability to clearly present technical analyses to non-technical audiences and drive alignment on decisions.
 </li>
 <li>
 Education: Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, Engineering, or related field; Master&rsquo;s degree a plus.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience working with product teams or SaaS platforms.
 </li>
 <li>
 Knowledge of ML frameworks (scikit-learn, TensorFlow, or PyTorch) and data visualization tools (Tableau, Looker, or similar).
 </li>
 <li>
 Exposure to cloud data environments (AWS, GCP, or Azure).
 
 
 </li>
 </ul>
 ✨
 
 Why Join
 
 : This is your chance to tackle challenging data problems in AI and product development. You&rsquo;ll apply advanced methods, work with talented colleagues, and contribute to products that affect millions of users and billions of data points&mdash;all while growing your skills and career.
 
 
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

Data Scientist - Global Tech Leader

<div>
 
 About The Role
 
 
 
 When you work in this role, you&rsquo;ll tackle tough problems alongside other scientists and engineers&mdash;people who will challenge your ideas, share knowledge, and collaborate on impactful projects. You&rsquo;ll be doing work that matters, developing solutions to complex real-world problems using data, invention, and rigorous inquiry.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Independently research and develop hypotheses based on diverse real-world datasets.
 </li>
 <li>
 Conduct literature reviews to apply cutting-edge methodologies for extracting meaningful signals from data.
 </li>
 <li>
 Partner with engineers and stakeholders to rigorously explore and test your theories.
 </li>
 <li>
 Stay engaged in the academic community by joining reading circles and attending seminars to keep up with the latest research.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 1&ndash;5+ years of experience in applied data analysis and prediction, preferably in an industry setting.
 </li>
 <li>
 Degree in a technical or quantitative discipline such as statistics, mathematics, physics, electrical engineering, or computer science.
 </li>
 <li>
 Proficiency in Python and SQL.
 </li>
 <li>
 Experience conducting in-depth research projects involving real-world data.
 </li>
 <li>
 Ability to think independently, approach analysis creatively, and communicate complex ideas clearly.
 </li>
 <li>
 Background in finance is not required&mdash;strong research skills are most important.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life and disability insurance.
 </li>
 <li>
 Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms.
 </li>
 <li>
 Learning: Tuition reimbursement, conference and training sponsorship.
 </li>
 <li>
 Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves.
 </li>
 <li>
 Hybrid Work Policy: Flexible in-office days with budget for home office setup.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The base pay for this role will be between
 
 $165,000 and $300,000
 
 . This role may also be eligible for additional forms of compensation and benefits such as discretionary bonuses, health and wellness plans, and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation will depend on skills, qualifications, and experience.
 
 
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

Data Scientist

<div>
 
 About Us
 
 
 
 We are building the infrastructure that powers the next generation of artificial intelligence. Our platform enables companies to train, deploy, and run large scale AI models with exceptional performance, reliability, and efficiency.
 
 
 Backed by more than $200M in funding from leading investors, we are one of the fastest growing companies in the AI infrastructure ecosystem. Our platform is trusted by cutting edge startups, global enterprises, and AI research teams pushing the boundaries of intelligent systems.
 
 
 We are operating at the center of a massive technological shift. The teams building modern AI need infrastructure that can scale with them, and we are building the cloud platform designed specifically for that future.
 
 
 Our company is still early enough that every hire matters and every leader shapes the trajectory of the organization.
 
 
 
 About The Role
 
 
 
 We are looking for a Senior Manager of Talent Acquisition to lead and scale recruiting during a period of rapid growth. This role will own strategy, execution, and team leadership across technical and non technical hiring as we continue expanding globally.
 
 
 You will lead a high performing recruiting team while partnering closely with executives, founders, and functional leaders to build world class teams across engineering, infrastructure, product, and go to market.
 
 
 This is a hands on leadership role for someone who thrives in fast scaling environments and knows how to build recruiting engines that consistently deliver exceptional talent.
 
 
 What You Will Do
 
 
 <ul>
 <li>
 Lead and scale a high performing talent acquisition team responsible for hiring across engineering, product, infrastructure, and business roles.
 </li>
 <li>
 Partner with executive leadership and hiring managers to forecast hiring needs and develop recruiting strategies that support aggressive growth goals.
 </li>
 <li>
 Design and continuously improve recruiting processes that enable speed, quality, and exceptional candidate experience.
 </li>
 <li>
 Drive high caliber hiring across competitive technical markets including distributed systems, machine learning infrastructure, and AI platform engineering.
 </li>
 <li>
 Mentor and develop recruiters while building a culture of excellence, ownership, and high standards.
 </li>
 <li>
 Implement data driven recruiting practices including pipeline metrics, forecasting, and performance tracking.
 </li>
 <li>
 Collaborate with leadership on employer brand strategy and positioning within the AI ecosystem.
 
 
 </li>
 </ul>
 What Makes You Successful In This Role
 
 
 <ul>
 <li>
 8 or more years of recruiting experience with at least 3 years managing recruiters or leading talent acquisition teams.
 </li>
 <li>
 Experience building recruiting functions within high growth technology companies.
 </li>
 <li>
 Track record of leading high volume hiring while maintaining exceptional talent quality.
 </li>
 <li>
 Strong partnership with executive leadership and hiring managers across technical organizations.
 </li>
 <li>
 Ability to recruit and close highly sought after technical talent in competitive markets.
 </li>
 <li>
 Comfort operating in fast moving startup environments where priorities evolve quickly.
 </li>
 <li>
 Strong operational mindset with experience building scalable hiring processes.
 
 
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 
 
 We offer competitive compensation including base salary, performance bonus, and meaningful equity. Benefits include comprehensive health coverage, flexible time off, retirement plans, and additional perks designed to support our team.
 
 
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

Senior Manager, Talent Acquisition

<div>
 Senior Data Scientist
 
 
 
 About The Role
 
 
 
 Partner with product and engineering to turn data into decisions. You&rsquo;ll design experiments, build predictive models, and deliver insights that move key metrics.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Frame problems, define success metrics, and design A/B tests or quasi-experiments.
 </li>
 <li>
 Build models for prediction, ranking, segmentation, or forecasting.
 </li>
 <li>
 Develop data pipelines and features with engineering partners.
 </li>
 <li>
 Communicate results clearly to technical and non-technical audiences.
 </li>
 <li>
 Establish best practices for measurement, causal inference, and model monitoring.
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 6+ years in applied data science or analytics.
 </li>
 <li>
 Proficiency in Python, SQL, and ML libraries (pandas, scikit-learn, PyTorch/TensorFlow).
 </li>
 <li>
 Experience with experimentation, causal methods, or time-series.
 </li>
 <li>
 Strong stakeholder management and storytelling with data.
 
 
 </li>
 </ul>
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

Senior Data Scientist - Medical Software Company

Join Andiamo and explore 7   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Andiamo

About Company

Data Scientist - Data-Driven Global Investment Firm

Data Scientist - Global Tech Leader

Data Scientist

Senior Manager, Talent Acquisition

Senior Data Scientist - Medical Software Company

Data Scientist - Global Tech Leader

Senior Manager, Talent Acquisition