applied data scientist, evaluation & model behavior

data engineer

applied data scientist, evaluation & model behavior Jobs in San Francisco

data analyst

data engineer - finance Jobs in San Francisco

data engineer - finance

data scientist

data scientist machine learning pricing rider engagement

Lyft

<div>
 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
 <br/>
 <br/>
 The Pricing team is a centerpiece of Lyft&rsquo;s marketplace. The Pricing team owns the models and software systems that determine the final prices shown to riders. Working with our business and analytics partners, the team owns tools to ensure Lyft offers competitive prices while making efficient financial trade-offs. Rider Engagement is a fast-growing team within Pricing, focused on developing rider-facing engagement levers and optimizing allocations and decisioning systems to drive both short term and long term business outcomes.
 <br/>
 <br/>
 As a Data Scientist specializing in Algorithms on the Rider Engagement team, you will develop mathematical models for core discounting systems and address diverse problems across optimization, prediction, machine learning, and inference. You will collaborate with cross-functional teammates and stakeholders to enhance algorithms, build and scale our rider engagement products and systems, and drive business growth. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions and decisioning frameworks. In this role, you will report to a Data Science Manager.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context
  </li>
  <li>
   Prioritize and lead deep dives into our data to uncover new product and business opportunities
  </li>
  <li>
   Be familiar with production code; collaborate with Software Engineers to implement algorithms and models in production
  </li>
  <li>
   Design, implement, and analyse different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization
  </li>
  <li>
   Establish metrics that measure the health of our products, as well as rider and driver experience
  </li>
  <li>
   Drive collaboration and coordination with cross-functional teams
  </li>
  <li>
   Provide coaching and technical guidance for other teammates
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
  </li>
  <li>
   2+ years professional experience in a technology company setting
  </li>
  <li>
   Proven experience with building and evaluating machine learning models
  </li>
  <li>
   Proficiency with Python and working in a production coding environment
  </li>
  <li>
   Passion for solving unstructured and non-standard mathematical problems
  </li>
  <li>
   End-to-end experience with data, including querying, aggregation, analysis, and visualization
  </li>
  <li>
   Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Great medical, dental, and vision insurance options with additional programs available when enrolled
  </li>
  <li>
   Mental health benefits
  </li>
  <li>
   Family building benefits
  </li>
  <li>
   Child care and pet benefits
  </li>
  <li>
   401(k) plan with company match to help save for your future
  </li>
  <li>
   In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  </li>
  <li>
   18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  </li>
  <li>
   Subsidized commuter benefits
  </li>
  <li>
   Monthly Lyft credits and complimentary Lyft Pink membership
   <br/>
   <br/>
  </li>
 </ul>
 Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
 <br/>
 <br/>
 Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
 <br/>
 <br/>
 The expected base pay range for this position in the San Francisco area is $128,000 - $160,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
</div>


Data Scientist - Machine Learning, Pricing & Rider Engagement

Uber

<div>The <b>Marketplace Signals</b> team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals-such as eyeball ETA, spinner time, and supply reliability indicators-are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions.
<br>
<br>
<b>What You'll Do
</b><ul><li>Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts).
</li><li>Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized.
</li><li>Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases.
</li><li>Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.
</li></ul><b>What You'll Need
</b><ul><li>Strong problem-solving skills, with expertise in ML methodologies
</li><li>Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech, recommender systems)
</li><li>Experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java
</li></ul><b>Why Join Us?
</b><ul><li>Work on high-impact machine learning problems that directly improve Uber's marketplace efficiency.
</li><li>Influence key business levers that optimize Uber's pricing, matching, and rider/driver experience.
</li><li>Build centralized marketplace signals that reduce redundancy and improve operational efficiency.
</li><li>Join a high-caliber, innovative team tackling some of the hardest ML challenges in the industry.</li></ul>
If you're passionate about using ML to optimize real-world systems at a massive scale, we'd love to hear from you!
<br>
<br>
<b>What You Will Do:</b><ul><li>
Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts).
</li><li>Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized.
</li><li>Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases.
</li><li>Ensure consistency and reliability across Uber's platform by maintaining high-quality marketplace signals that inform rider and driver experiences.
</li><li>Reduce technical debt by streamlining signal infrastructure and minimizing redundant computations.
</li><li>Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.
</li><li>Work with real-time streaming data and large-scale distributed systems to ensure Uber's signals are up-to-date and responsive to market dynamics.
</li></ul><b>Basic Qualifications:</b><ul><li>
Ph.D. or M.S. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
</li><li>6+ years of industry experience in machine learning, including building and deploying ML models at scale.
</li><li>Experience in modern deep learning architectures and probabilistic modeling
</li><li>Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn),
</li><li>Solid understanding of MLOps practices, including design documentation, testing, and source code management with Git.
</li><li>Advanced skills in the development and deployment of large-scale ML models and optimization algorithms
</li><li>Strong business and product sense: ability to shape vague questions into well-defined analyses and success metrics that drive business decisions.
</li></ul><b>Preferred Qualifications:</b><ul><li>
Expertise in developing causal inference methodologies, experimental designs, and advanced analytical methods.
</li><li>Strong experience in building a wide range of models (e.g. causal inference, optimization, ML) for business applications.
</li><li>Experience in algorithm development and rapid prototyping.
</li><li>Design, develop, and operationalize econometric models to assess challenging causal problems such as product incrementality and long-term value
</li><li>Propose, design, and analyze large scale online experiments and interpret the results to draw actionable conclusions.
</li><li>Ability to drive clarity on the best modeling solution for a business objective.
</li>Collaborate with cross-functional teams across disciplines such as product, engineering, and operations to drive system development end-to-end from generating ideas to productionizing.<br>
<li>
</li></ul><br>
<br>
For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Staff Machine Learning Engineer

Prolific

<div>
 <strong>
  AI Trainer &ndash; Machine Learning Specialists
  <br/>
  <br/>
 </strong>
 <strong>
  About Prolific
  <br/>
  <br/>
 </strong>
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 <br/>
 <br/>
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 <br/>
 <br/>
 <em>
  The role
  <br/>
  <br/>
 </em>
 We&rsquo;re looking for
 <strong>
  AI Trainer &ndash; Machine Learning Specialists
 </strong>
 to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we&rsquo;ll send you a quick
 <strong>
  10- to 15-minute test
 </strong>
 to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a participant, where you&rsquo;ll get paid to train and evaluate powerful AI models.
 <br/>
 <br/>
 Researchers looking for your skills tend to pay up to
 <strong>
  $150/hr per AI task completed
 </strong>
 . You must be prepared to complete paid tasks that require
 <strong>
  one hour of uninterrupted work
 </strong>
 , though many are shorter.
 <br/>
 <br/>
 What you&rsquo;ll bring
 <br/>
 <br/>
 <ul>
  <li>
   AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
  </li>
  <li>
   A willingness to take our skills verification test to assess your suitability for our participant pool
  </li>
  <li>
   Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
  </li>
  <li>
   A reliable and fast internet connection and access to a computer
  </li>
  <li>
   A willingness to self-declare your earnings, as our participants are self-employed
  </li>
  <li>
   A Paypal account to receive payment from our clients
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  What you&rsquo;ll be doing in the role
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
  </li>
  <li>
   Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
  </li>
  <li>
   Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Key Technologies
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   General AI Training
  </li>
  <li>
   Model Evaluation and Evals
  </li>
  <li>
   Trust and Safety
  </li>
  <li>
   Red Teaming
  </li>
  <li>
   Quality Analytics
  </li>
  <li>
   Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Why Prolific is a great platform to join as a Participant
  <br/>
  <br/>
 </em>
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 <br/>
 <br/>
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 <br/>
 <br/>
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 <br/>
 <br/>
 <em>
  Links to more information on Prolific
  <br/>
  <br/>
 </em>
 Website
 <br/>
 <br/>
 Youtube
 <br/>
 <br/>
 Privacy Statement
 <br/>
 <br/>
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>


AI Training - Machine Learning Specialist (PST)

University of California - San Francisco

<div><p>Zuckerberg San Francisco General Hospital and the Division of Cardiology is at the forefront of applying artificial intelligence and machine learning (AI/ML) to help improve outcomes in vulnerable and underserved populations. We currently have a successful and growing ML predictive analytics team consisting of ML researchers, clinicians, informaticists, and biostatisticians. We seek a data scientist to join our team to develop AI/ML-based algorithms to support clinical decision making, hospital performance improvement efforts, and more. This position requires experience in computer science, (bio)statistics, or another relevant field. A proven track record of productivity within academia or industry in publishing and/or developing and applying new algorithms is necessary for this role. The candidate should have experience developing in a Linux environment, using git-based workflows, writing in Python/R, using high-performance computing, and working collaboratively with a multidisclinary team. Ideally, the candidate also has experience cleaning and analyzing Electronic Health Record (EHR) data, creating datawarehouses for data analytics, and experience/interest in developing new ML algorithms including large language models.</p></div>

Data Scientist

Genentech

<div><div><div>THE POSITION</div><p><b>
Job Summary</b></p><p>
The Senior Data Scientist in Data, Analytics, and AI develops, deploys, and industrializes enterprise applications leveraging machine learning techniques to extract value from structured and unstructured data across Commercial and Medical domains. Acting as a strategic thought partner, the role involves shaping impactful business priorities, collaborating cross-functionally, and delivering actionable insights. The position requires a strong execution mindset, commitment to data quality and governance, and the ability to communicate complex findings to different audiences&mdash;all while staying at the forefront of AI innovation and aligning with Genentech&rsquo;s standards and compliance.</p><p></p><p><b>
Key Job Responsibilities</b></p><p></p><ul><li><p>
Drive the development, deployment, and industrialization of enterprise applications using machine learning techniques (e.g., classification, regression, and forecasting) to generate value from structured and unstructured data for Commercial and Medical organizations.</p></li><li><p>
Develop a deep understanding of customers and market dynamics, and apply your technical skills to advance that knowledge and guide the organization, delivering products that help create an integrated customer experience for customers.</p></li><li><p>
Help stakeholders define clear, impactful business priorities, and where possible, use their own expertise or existing analysis/research to influence and guide.</p></li><li><p>
Act as subject matter expert for applicable Data Science and other advanced analytical methodologies, programs, and projects. Collaborate within cross‑functional teams to develop efficient Machine Learning‑based applications, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision‑making.</p></li><li><p>
Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value.</p></li><li><p>
Apply data science and other advanced analytical methodologies,<i> </i>using multiple data sources and tools.</p></li><li><p>
Collaborate with data science product owners/managers, data leads, ML Engineers, and MLOps team to develop efficient machine learning-based applications, gain alignment, and deliver impactful business insights.</p></li><li><p>
Communicate findings effectively to both technical and non-technical audiences.</p></li></ul><p><b><i><br>
Who You Are</i></b></p><ul><li><p>
Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.</p></li><li><p>
5 years of experience in data science or related roles.</p></li><li><p>
Proficiency in programming languages such as Python, R.</p></li><li><p>
Knowledge of SQL for database management.</p></li><li><p>
Strong expertise in Machine Learning and Deep Learning techniques</p></li><li><p>
Excellent verbal and written communication skills, with the ability to present complex data analyses to non-technical stakeholders.</p></li><li><p>
Strong critical thinking and problem-solving abilities, with a detail-oriented approach to data analysis.</p></li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li><p>
Experience working with large and complex data sets in collaboration with business and analytics teams.</p></li><li><p>
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).</p></li><li><p>
Contributions to open source projects or publications in data science.</p></li><li><p>
Experience in healthcare, pharmaceutical, or highly regulated industries.</p></li><li><p>
Relevant certifications in data science, machine learning, or AI technologies (e.g., Certified Analytics Professional, AWS or similar certifications).</p></li><li><p>
Experience working with large, complex data using Hadoop or Spark or any other big data platforms.</p></li><li><p>
Proficiency with industry-standard programming languages such as Python.</p></li><li><p>
Experience with other Data Science and cloud-computing tools and platforms (AWS, GCP, etc.).</p></li><li><p>
Proficiency using ML in a variety of contexts such as insight generation, ROI calculation, text classification, clustering etc.</p></li><li><p>
Experience with data visualization tools such as tableau, and/or Qlik, and/or data studio etc.</p></li><li><p>
Experience translating research or analysis to communicate (in presentations and in writing) concise and compelling business stories that influence decisions and strategy.</p></li></ul><p><b>
Location</b></p><ul><li><p>
This position is based in South San Francisco, CA at our Genentech Campus</p></li><li><p>
Relocation benefits are NOT available for this posting</p></li></ul><p></p><p>
The expected salary range for this position based on the primary location of South San Francisco, CA is $185,200/yr to $343,900/yr. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.</p><p>
 Benefits</p><p></p><p>
#LI-CM4</p><p></p><p>
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Computational Biology
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Apr 2nd 2026
</p></div><div><b>Job ID</b><b>
</b><p>202604-108637</p></div></ul></div></div></div></div><p></p>

Senior Data Scientist

LendingClub

<div><h3 class="jobSectionHeader"><b>Current </b><b>Employees</b><b> of LendingClub: Please apply via your internal Workday Account</b></h3><p></p><p>
LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the U.S., having helped our nearly 5 million members secure over $90 billion in loans to refinance high-cost debt and achieve their financial goals. Members today have mobile-first access to a growing range of products and services designed to work seamlessly together to deliver value in new ways. Everyone deserves a better financial future, and our team is committed to making that a reality. Join the Club!</p><p></p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p></p>
LendingClub&rsquo;s Risk and Decision Science organization is looking for a Director, Data Science &amp; Machine Learning to lead the development and implementation of advanced machine learning and statistical solutions across our lending and deposit products. You will manage a team of experienced data scientists, working across key domains like credit underwriting, loan pricing, fraud detection, and marketing targeting.
<br>
<br>
You will play a central role in delivering scalable, interpretable, and compliant models that drive LendingClub&rsquo;s business performance while collaborating closely with partners across Risk, Technology, Marketing, and Compliance.<p></p><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><p></p><div><ul><li>
Lead the end-to-end development, deployment, and performance monitoring of machine learning and statistical models used in credit, fraud, marketing, pricing, and operational decisioning</li><li>
Manage and mentor a team of data scientists and machine learning experts to deliver best-in-class modeling capabilities</li><li>
Partner with stakeholders across Credit Strategy, Marketing, Risk, Engineering, Model Risk Management, and Compliance to align solutions with business objectives and regulatory standards</li><li>
Apply advanced techniques such as gradient boosting, deep learning, and ensemble modeling to improve prediction accuracy and operational efficiency</li><li>
Contribute to the design and evolution of LendingClub&rsquo;s ML infrastructure and tooling for scalable experimentation and deployment</li><li>
Identify and integrate new data sources to enhance model performance and business impact</li><li>
Ensure rigorous documentation, governance, and model validation in accordance with financial services regulatory requirements</li><li>
Communicate complex technical concepts clearly and effectively to business leaders, senior executives, and oversight functions</li></ul></div><p></p><h2 class="jobSectionHeader"><b>
About You</b></h2><p></p><div><ul><li>
10+ years of experience in machine learning, data science, or credit risk analytics, preferably in consumer lending or financial services</li><li>
5+ years of experience managing high-performing teams in applied machine learning or predictive analytics</li><li>
You are an experienced and technically adept leader in machine learning and data science, with a passion for driving innovation and solving real-world financial challenges through data</li><li>
Strong technical expertise in supervised and unsupervised learning techniques (e.g., logistic regression, decision trees, GBMs, neural networks)</li><li>
Proficient in Python and key ML libraries (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch, Pandas, NumPy)</li><li>
Deep understanding of end-to-end model lifecycle management, from development through monitoring and retraining</li><li>
Familiarity with model governance practices and regulatory frameworks (e.g., SR 11-7, OCC guidance)</li><li>
Proven ability to execute complex projects, manage stakeholder expectations, and deliver high-impact results</li><li>
Excellent communication and data storytelling skills with the ability to influence across all levels of the organization</li><li>
Bachelor&rsquo;s degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics); Master&rsquo;s or PhD preferred</li></ul><p></p><p><b>
Work Location
</b><br>
San Francisco<br>
<br>
The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role&rsquo;s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role&rsquo;s success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level.
<br>
<br>
<b>Time Zone Requirements
</b><br>
Primarily PT<br>
<br>
While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.<br>
<br>
<b>Travel Requirements
</b><br>
As needed travel to LendingClub offices and/or other locations, as needed.
<br>
<br>
<b>Compensation
</b><br>
The target base salary range for this position is 210,000-245,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub&rsquo;s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).<br>
<br>
We&rsquo;re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.
<br>
<br>
#LI-Hybrid
<br>
#LI-JF1</p></div><p><br>
LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.</p><p></p><p><br>
We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@lendingclub.com.</p></div>

Director, Data Science & Machine Learning

Specialized Bicycle Components

<div>Service Technician - Roaring Mouse - San Francisco, CA<div><b>
ABOUT SPECIALIZED</b></div><div><i>
Innovation has guided our every decision since 1974. As more riders of all ages get on the roads, trails, and streets than ever before, we&rsquo;re here to do the best work of our lives to push the greatest human powered machine into the future each and every day. We&rsquo;re a team of barrier-breakers, disrupters, and problem solvers. We&rsquo;re committed to building a diverse and inclusive workforce where every teammate can succeed as we inspire riders everywhere.</i></div><div><i>
In Company Owned Retailed, we strive to be a transformative, inclusive, authentic, rider focused, and collaborative team that creates the best bikes and delivers world class rider care attention. Simply said, we provide quality in our products and to our riders at every interaction and are looking for a teammate to be a part of this growing team. Reach out &ndash; we&rsquo;re here to help you build your career at Specialized.</i></div><div></div><div><b>
JOB SUMMARY</b></div><div>
A Service Technician is the front line and point person for our brand to the rider and encourages successful, profitable retail by taking their technical expertise to the next level as a driver of outstanding in store brand experiences. A Service Technician works directly with riders, both present and remote, to identify and locate the goods, services, and experiences needed to provide solutions quickly and frictionlessly to keep them riding longer and better. Service Technicians work collaboratively and hands-on with staff and local riders as a host, mentor, brand advocate, and technical service ace. The Service Technician provides exceptional rider service; enhances rider satisfaction; and aids in meeting sales and profitability goals.</div><div></div><div><b>
HOW YOU&rsquo;LL MAKE A DIFFERENCE</b></div><ul><li>
Meeting and making a connection with riders, asking qualifying questions and listening to riders' needs, then giving options and advice on meeting those needs from a pre-set service menu or tune ups and a la cart service.</li><li>
Speak authoritatively on technical matters as they relate and pertain to our bicycles; be the expert</li><li>
Assists customers in an enthusiastic and courteous manner; provides &ldquo;wow&rdquo; customer service.</li><li>
Responsible for properly taking in all service work and setting and exceeding rider expectations, including correctly filling out service work orders, scheduling an appropriate number of repairs</li><li>
Advises and assists customers with their product/service selection without bias.</li><li>
Develops and maintains knowledge expertise of all merchandise in department to effectively assist customers with accurate information; keeps current as new product lines are introduced.</li><li>
Assists with bike sales with technical consulting, and any other bike floor duties as needed.</li><li>
Deliver best in class rider-service that ensures ongoing service and high levels of rider satisfaction</li><li>
General cleanliness standards are set at store opening, maintained throughout the day, and reset at close of business, including light janitorial duty</li><li>
Proficiency in Lightspeed point of sale systems and store operational websites</li><li>
Regular, dependable attendance and punctuality</li></ul><div></div><div><b>
WHAT YOU NEED TO WIN</b></div><ul><li>
Passion for cycling and the Specialized brand</li><li>
Bike shop / Bike mechanic experience preferred</li><li>
Excellent communication with the ability to effectively interact with riders and team members</li><li>
Must be able to work as business dictates which includes weekends</li><li>
Ability to stand for extensive time periods; while occasionally walking, kneeling, or reaching</li><li>
Able to lift at least 50 lbs. or more and use proper lifting skills</li></ul><div></div><div><b>
TELL ME MORE</b></div><ul><li>
Competitive health care (Medical PPO or HDHP)*</li><li>
Dental*</li><li>
Vision*</li><li>
Health Savings Account (HSA)</li><li>
Short and Long Term Disability</li><li>
Company sponsored life insurance</li><li>
Optional Term Life Insurance</li><li>
Optional Critical Illness insurance</li><li>
Optional Critical Accident insurance</li><li>
Competitive vacation package*</li><li>
401(k) with match</li><li>
8 Weeks paid parental leave</li><li>
Paid company holidays</li><li>
Employee discounts on all product</li><li>
Deep partner retail discounts</li><li>
Fitness &amp; Events Reimbursement</li><li>
Employee Assistance Program</li><li>
Commuter Benefits *if applicable in state</li><li>
Compensation: $19.61-$21/hr</li></ul><ul><li>For eligible employees</li></ul><div></div><div><i>
Here at Specialized we believe that bikes have the power to change lives. Our culture is one of passion, striving to break barriers and have a positive impact on the world.</i></div><div></div><div><i>
We want to increase representation of all races, genders, and body types in the cycling industry and are committed to building a diverse and inclusive workforce where all people thrive. We encourage everyone &ndash; especially those from marginalized groups &ndash; to apply to our job postings and help us earn the position as the rider&rsquo;s brand of choice. We are always looking for creative, innovative, and passionate people who are eager to contribute to our mission of pedaling the planet forward. Regardless of your qualifications, if you are ready to make a difference, please apply and let us know how you can make an impact at Specialized!</i></div><div></div><div><i>
See what we are up to on </i><div><i>LinkedIn</i></div><i>, </i><div><i>Instagram</i></div><i>, and most importantly, our #</i><div><i>DogsofSpecialized</i></div></div></div>

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