<p>Scale is looking for a data scientist to join our team to help advance the development of AI. As a member of the data science team, you will lead the charge of building our data science infrastructure for Gen AI products and driving insights that lead to step-function improvements in how we operate. The ideal candidate is detail-oriented, rigorous about validating results, talented at distilling down complexity, and loves tackling and solving hard problems.</p><h3>You will:</h3><ul><li>Build evaluation frameworks to measure LLMs efficacy, ground truth dataset quality, and guide product development roadmap</li><li>Adapt statistical models to solve specific hard problems in fields of economics, price theory, and marketplace experimentation</li><li>Be a proactive partner to your business stakeholders and provide insights and conclusions rather than just data outputs/models</li><li>Tackle business-critical questions by developing and testing hypotheses, and aiding evidence-based decision making</li><li>Partner with Product Managers, Data Engineers, Data Scientists, and Business Stakeholders to drive business decisions and product roadmaps</li></ul><h3>Ideally, You'd Have:</h3><ul><li>5+ years of industry experience in a highly analytical role</li><li>Degree in a quantitative field (e.g., Maths, Engineering)</li><li>Strong proficiency in Python</li><li>Experience with marketplace experimentation</li><li>Expert-level proficiency in writing complex SQL queries across large datasets</li><li>Expertise in designing metrics and diagnosing data inconsistencies</li></ul><h3>Compensation:</h3><p>The base salary range for this full-time position in the location of San Francisco is:</p><p>$172,000 - $206,000 USD</p><h3>About Us:</h3><p>At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.</p><h3>Equal Employment Opportunity:</h3><p>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</p><h3>Application Process:</h3><p>If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.</p><h3>Apply for this job</h3><p>* indicates a required field</p><p>First Name *</p><p>Last Name *</p><p>Email *</p><p>Phone</p><p>Resume/CV *</p><p>LinkedIn Profile</p><p>Website</p>
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Somerville, Massachusetts, United States
About Mobi.AI
Mobi builds technologies that expand the human ability to navigate the world.
Mobi’s core ability is to model decision-making through a planning platform to solve complex problems for the individual and at scale that the human brain can’t solve alone. Mobi’s AI planning platform integrates robust data sets capable of fleet efficiency optimization, business process automation, as well as guiding travelers to the tastiest meals and off-the-beaten-path experiences worldwide. Mobi’s ability to solve tough problems at scale is being used by the world’s largest brands.
Founded in the research labs of MIT in 2012, we work, build, and learn together at our headquarters in Somerville, MA. We’re proud to be backed by an outstanding group of investors, Firefly Venture Partners, RPM Ventures, and Enterprise Holdings, who share our commitment to building transformative travel technologies.
Working at Mobi
We welcome people with a range of backgrounds, identities, passions, and skills. We believe that difference breeds creativity. We know it’s not enough to hire people with diverse points of view: it is crucial to cultivate a culture of continued conversation. We are woman-led, and many identities are represented by the current team.
Our work is centered on four core values:
Build with Care: We incorporate environmental and socially sustainable values in everything we build.
Center Diversity: We celebrate diversity on the team and through the products and partnerships we create.
Share Knowledge: We publish, speak, and consult to share as much knowledge as possible.
Real > Virtual: We build technology that unlocks real-world experiences.
About the Role
As a Staff Data Scientist, you will be part of the Data Science team which delivers end-to-end solutions at the cutting edge of developments in AI. The goal of the team is to build solutions that capitalize on the latest advancements in large language models (LLMs), vision language models (VLMs), as well as traditional machine learning and rule-based methods, and are generalizable to a multitude of client industries, with a focus on document understanding, ingestion, and predictive modeling.
Responsibilities include:
Prototyping and building core ML microservice platforms.
Utilizing NLP methods and computer vision to automate and optimize customer processes.
Designing and applying NLP models to free-form text data.
Building computer vision and multi-modal models to digest scanned documents.
Using classic CV methods to process images.
Interacting and collaborating with clients directly; responsible for negotiating and designing project scopes, deliverables details, and timelines.
Reviewing the latest literature on advancements of technology/techniques related to our work.
Conducting experiments of such techniques on our existing projects.
Providing extensive guidance to data scientists and senior data scientists within the team.
Required Experience/Skills
Master’s degree (or foreign equivalent) in Mechanical Engineering, Data Science, or a directly related field.
Minimum five (5) years of hands-on experience in Machine Learning, including direct involvement in end-to-end ML model development and deployment.
NLP AND Computer Vision.
Classification, clustering, and regression machine learning models.
Proficiency in Python, Java/C++/R.
Experience with Pytorch or Tensorflow.
Software development and machine learning model training on cloud computing infrastructure, including Microsoft Azure, Amazon Web Services.
Apply graduate-level statistics to model building, model evaluation, and data exploration.
Experience in independently leading an entire project or a standalone part of a large project.
Object-oriented programming.
Distributed training.
Model production and deployment.
Partnering with colleagues in developing large code bases.
Communicating with clients to satisfy their demands on the products.
The base salary range for this US full-time position is between $140,000- $220,000, and is eligible for an annual company bonus, subject to standard withholding and applicable taxes. All candidates receive equity (ISO) and access to a comprehensive benefits offering. The base salary range reflects the minimum and maximum targets for candidates. The following factors are considered when determining the compensation offered: work location, skills, experience, and any relevant education or training. The Recruiter or Hiring Manager can share more about the specific salary range with you during the recruitment process and answer any questions you have.
Competitive Base Salary + Annual Bonus
Comprehensive Health Insurance (Medical, Dental, and Vision) for you and your family, covered mostly by the company.
Company-paid Disability and Life Insurance.
Paid Parental Leave (for all types of parents and families).
Equity ownership in the company.
401k Plan.
Unlimited Paid Time Off + $1,000 Bonus for taking 5 consecutive days off.
Flexibility to work anywhere in the world for one month a year.
Tuition Reimbursement.
Cell Phone & Transportation Reimbursement.
Lunch daily from local Davis Square restaurants.
Cozy office environment with a full kitchen, massage chairs, live plants, and much more!
Mobi hires those willing to work either full-time in the office or on a hybrid schedule.
We are an equal opportunity employer; applicants, employees, and former employees are protected from employment discrimination and harassment of any type based on race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, protected veteran status and genetic information (including family medical history), or any other characteristic protected by federal, state or local laws.
Apply for this job  * indicates a required field
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Last Name *
Email *
Phone
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This position does not support remote work and requires individuals to be in the office 3 days a week. Our office is located in Somerville, MA. Are you okay with this location and work schedule? * Select...

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Somerville, Massachusetts, United States
About Mobi.AI
Mobi builds technologies that expand the human ability to navigate the world. Mobi’s core ability is to model decision-making through a planning platform to solve complex problems for the individual and at scale that the human brain can’t solve alone. Mobi’s AI planning platform integrates robust data sets capable of fleet efficiency optimization, business process automation, as well as guiding travelers to the tastiest meals and off-the-beaten-path experiences worldwide. Mobi’s ability to solve tough problems at scale is being used by the world’s largest brands.
Founded in the research labs of MIT in 2012, we work, build, and learn together at our headquarters in Somerville, MA. We’re proud to be backed by an outstanding group of investors, Firefly Venture Partners, RPM Ventures, and Enterprise Holdings, who share our commitment to building transformative travel technologies.
Working at Mobi
We welcome people with a range of backgrounds, identities, passions, and skills. We believe that difference breeds creativity. We know it’s not enough to hire people with diverse points of view: it is crucial to cultivate a culture of continued conversation. We are woman-led, and many identities are represented by the current team.
Our work is centered on four core values:
Build with Care: We incorporate environmental and socially sustainable values in everything we build.
Center Diversity: We celebrate diversity on the team and through the products and partnerships we create.
Share Knowledge: We publish, speak, and consult to share as much knowledge as possible.
Real > Virtual: We build technology that unlocks real-world experiences.
About the Role
As a Staff Data Scientist, you will be part of the Data Science team which delivers end-to-end solutions at the cutting edge of developments in AI. The goal of the team is to build solutions that capitalize on the latest advancements in large language models (LLMs), vision language models (VLMs), as well as traditional machine learning and rule-based methods, and are generalizable to a multitude of client industries, with a focus on document understanding, ingestion, and predictive modeling.
Responsibilities include prototyping and building core ML microservice platforms, utilizing NLP methods and computer vision to automate and optimize customer processes, as well as increase user engagement, designing and applying NLP models to free-form text data, building computer vision and multi-modal models to digest scanned documents, and using classic CV methods to process images. The long-term objective is to host a suite of such solutions that can be applied to multiple verticals, that are versatile and quickly adaptable to each client’s use cases, and that beat any off-the-shelf, expensive, and not fine-tuned pre-trained models’ performance on any given task.
You will also be interacting and collaborating with clients directly; as a project leader, you will be responsible for negotiating and designing project scopes, deliverables details, and timelines, as well as managing clients’ expectations.
Outside of client-facing responsibilities, you will be in charge of reviewing the latest literature on advancements of technology/techniques related to our work, evaluating the relevance and efficacy of such advancements, conducting experiments of such techniques on our existing projects, and making recommendations on if and how they can be adapted to improve our range of capabilities. You will also be in charge of providing extensive guidance to data scientists and senior data scientists within the team.
Required Experience/Skills
Master’s degree (or foreign equivalent) in Mechanical Engineering, Data Science, Analytics, or a directly related field
Five (5) years of experience in Machine Learning.
Classification, clustering, and regression machine learning models
Python
Java/C++/R
Pytorch or Tensorflow
NLP or Computer Vision
Software development and machine learning model training on cloud computing infrastructure, including Microsoft Azure, Amazon Web Services
Apply graduate-level statistics to Model building, model evaluation, and data exploration
Experience in independently leading an entire project or a standalone part of a large project
Object-oriented programming
Distributed training
Model production and deployment
Partnering with colleagues in developing large code bases
Communicating with clients to satisfy their demands on the products
Benefits
Competitive Base Salary + Annual Bonus
Comprehensive Health Insurance (Medical, Dental, and Vision) for you and your family, covered mostly by the company.
Company-paid Disability and Life Insurance
Paid Parental Leave (for all types of parents and families)
Equity ownership in the company
401k Plan
Unlimited Paid Time Off + $1,000 Bonus for taking 5 consecutive days off
Flexibility to work anywhere in the world for one month a year
Tuition Reimbursement
Cell Phone & Transportation Reimbursement
Lunch daily from local Davis Square restaurants
Cozy office environment with a full kitchen, massage chairs, live plants, and much more!
Mobi hires those willing to work either full-time in the office or on a hybrid schedule.
We are an equal opportunity employer; applicants, employees, and former employees are protected from employment discrimination and harassment of any type based on race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, protected veteran status and genetic information (including family medical history), or any other characteristic protected by federal, state or local laws.
Apply for this job
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Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve competitive advantage through a process of Integrate, Automate, Innovate.
Our culture at Trace3 embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their career and have fun while doing it!
Trace3 is headquartered in Irvine, California. We employ more than 1,200 people all over the United States. Our major field office locations include Denver, Indianapolis, Grand Rapids, Lexington, Los Angeles, Louisville, Texas, San Francisco.
Ready to discover the possibilities that live in technology?
Come Join Us!
JOB SUMMARY:  As a  Principal Data Scientist  at Trace3, you will lead advanced AI pre-sales opportunities, cutting-edge research, and novel algorithm development. You are comfortable experimenting with cutting-edge approaches, developing proprietary models that solve complex challenges, and applying expertise beyond machine learning, such as prescriptive modeling/optimization, simulations, and causality.
Your role will involve strategic execution, requiring knowledge of scientific processes and cutting-edge research, and the ability and comfort in navigating open-ended complex problems. You will serve as a trusted advisor to our clients, helping them navigate their AI journey while delivering measurable business value.
SUMMARY OF ESSENTIAL JOB FUNCTIONS:   Lead advanced AI opportunities, cutting-edge research, and advanced algorithm development.
Lead process improvement initiatives using data-driven approaches, including workflow optimization and operational efficiency analysis.
Serve as a consultant and executive peer, providing strategic execution and guidance.
Transform business requirements into structured analytical approaches, ensuring alignment with client objectives.
Create and implement machine learning/algorithmic solutions for business processes.
Collaborate with stakeholders across industries to solve complex business challenges through data-driven approaches and innovative analytical solutions.
Deliver compelling presentations and workshops to stakeholders, translating technical concepts into business value.
Guide clients in developing AI-driven strategies that align with their organizational goals.
Identify opportunities for process optimization and automation through advanced analytics.
Collaborate with engineering and product teams to integrate models and solutions into production environments.
Provide mentorship and leadership within the AI Consulting and Technology team, elevating the growth and maturation of Trace3’s data science and AI capabilities.
Provide thought leadership and contribute to blogs, whitepapers, and internal training initiatives.
Lead discovery workshops and requirements gathering sessions with clients to understand their business challenges.
REQUIRED SKILLS AND EXPERIENCE:   Master's degree in Data Science, Computer Science, Statistics, Economics, or a related field.
6+ years of experience in data science and business consulting related roles, with demonstrated success in delivering end-to-end solutions.
Experience with cloud platforms (Microsoft Azure, AWS, GCP) and data/ML platforms (ex. Databricks, DataRobot, SageMaker, Azure Machine Learning, Jupyter, Domino).
Strong foundation in scientific processes and applying cutting-edge methods to solve business problems.
Proficiency in programming languages such as Python or R for exploratory analysis, feature engineering, model development, and external API integration.
Experience with machine learning libraries and frameworks (e.g. scikit-learn, TensorFlow, PyTorch).
Experience with process modeling, simulation, and optimization techniques.
Expertise in statistical analysis tools and machine learning frameworks.
Demonstrated ability to evaluate ideas and qualify them as AI-ready use cases.
Strong project management skills with ability to lead complex, multi-stakeholder initiatives.
Understanding of generative AI solution concepts, such as Retrieval Augmented Generation (RAG), fine-tuning, and agentic workflows.
Excellence in business communication and presentation skills.
Demonstrated success in consulting environments with direct client interaction.
PREFERRED SKILLS AND EXPERIENCE:   Master’s degree or Ph.D in Data Science, Computer Science, Statistics, Economics, or a related field.
Domain knowledge in a specific industry vertical (manufacturing, healthcare, finance, etc.).
Knowledge of process improvement methodologies (Six Sigma, Lean, etc.).
Experience with operations research and optimization techniques (linear optimization, MIP, etc.).
Experience with business intelligence and visualization tools.
Understanding of change management principles and organizational dynamics.
Knowledge of AI governance and ethical considerations in business AI applications.
Experience leading process improvement initiatives using AI.
Familiarity with agile methodologies and iterative solution development.
Experience in consulting roles.
COMPENSATION:  Actual salary will be based on a variety of factors, including location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base salary.
$200,000 - $240,000 USD
THE PERKS:   Comprehensive medical, dental and vision plans for you and your dependents.
401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability.
Competitive Compensation.
Training and development programs.
Stocked kitchen with snacks and beverages.
Collaborative and cool culture.
Work-life balance and generous paid time off.
***To all recruitment agencies:  Trace3 does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Trace3 employees or any other company location. Trace3 is not responsible for any fees related to unsolicited resumes/CVs.

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<p>Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad-targeting utilizing data, the same robust performance powered by machine learning has previously been unavailable beyond their platforms.</p><p>That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while allowing companies to stay independent and scale.</p><p>An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. Recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. In 2023, we received Google’s Cloud DevOps Dreamers Award, a recognition given to companies that are implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work! Check us out on Glassdoor and be sure to get an inside look at working at Moloco on Instagram, Twitter, and YouTube.</p><p>Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv, and Tokyo.</p><p>Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging will allow us the greatest opportunity to carry out our mission -- to empower businesses of all sizes to grow through operational machine learning.</p><p>Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!</p><h3><strong>The Impact You'll Be Contributing to Moloco:</strong></h3><p>We are seeking a passionate and motivated Senior Data Scientist to join Moloco's Metrics team. In this role, you will partner with data scientists, engineers, PMs, and marketing across the company to improve and amplify our use of data and machine learning in order to derive better insights on our users and our business. In this role, you will work on developing metrics, investigating metric trends, and productionizing metrics and insights into self-service tools. The ideal candidate will have the right mix of hard and soft skills that allows them to conduct rigorous analysis, mentor junior data scientists, present findings to the leadership, provide tactical or strategic advice on the business, and so on.</p><h3><strong>In this role, you will:</strong></h3><ul><li>Shape the direction of some of our key data science areas via metric related work, including aggregation, segmentation, investigation, attribution, etc.</li><li>Effectively communicate actionable insights to all levels of the organization with varying degrees of data science understanding and backgrounds.</li><li>Provide guidance and mentorship to junior data scientists on technical solutions, fostering a collaborative and growth-oriented environment within the team.</li><li>Represent the metric data science field throughout the organization via standardizing the metrics across the company, having a powerful voice to make us more data-driven.</li><li>Build self-serving data science products to make analytics simpler within the company.</li><li>Collaborate with cross-functional teams to identify and implement data science initiatives that align with business goals, and communicate insights and recommendations to collaborators in a clear and actionable way.</li><li>Work closely with Engineering, Product Management, Data Science, and Marketing to understand metric usage and trends and make data-driven decisions and recommendations.</li><li>Bachelor’s degree or equivalent experience in a quantitative field, such as mathematics, statistics, physics, economics, computer science, etc.</li><li>6+ years of experience as a Data Scientist or Data Science Manager.</li><li>Experience working on metric related projects.</li><li>Expertise with SQL and data visualization tools (e.g. Tableau, Mode, or Looker) and proficiency in a programming language such as Python.</li><li>Resilience and agility to react and communicate fast, prioritizing time on the most impactful projects.</li><li>Excellent communication skills, both written and verbal, with the ability to present complex ideas and results to non-technical customers and leadership.</li><li>Proven track record of successfully leading cross-functional projects, managing collaborators, and driving impact with data-driven insights. Management experience is a plus.</li></ul><p><strong>Our Compensation And Benefits (for United States Residents Only)</strong></p><p>In accordance with various state laws, the range provided is a reasonable estimate of the base pay for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.</p><p>Base Pay Range:</p><p>$167,200 - $205,000 USD</p><p><strong>Moloco Thrive: Benefits and Well-Being:</strong></p><p>We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. For an overview of our global benefits, click here.</p><ul><li><strong>Lead with Humility:</strong> Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.</li><li><strong>Uncapped Growth Mindset:</strong> We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.</li><li><strong>Create Real Value:</strong> We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.</li><li><strong>Go Further Together:</strong> We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.</li></ul><p>Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression, and gender identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law.</p><p>Interested in building your career at Moloco? Get future opportunities sent straight to your email.</p>
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Data Scientist Tbwa Chiat/Day Inc Jobs

Senior Data Scientist Generative Ai
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Staff Data Scientist
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Staff Data Scientist Somerville Massachusetts United States
December 25, 2024

Principal Data Scientist Remote
December 22, 2024

Senior Data Scientist Metrics
December 22, 2024

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Data Scientist Tbwa Chiat/Day Inc Jobs

Senior Data Scientist Generative AiDecember 31, 2024

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Staff Data Scientist Somerville Massachusetts United StatesDecember 25, 2024

Principal Data Scientist RemoteDecember 22, 2024

Senior Data Scientist MetricsDecember 22, 2024