Lead Data Scientist Retail Payer Analytics

Job DescriptionThe Analytics and Behavior Change team serves as a critical partner to the retail pharmacy payer analytics team, helping them to achieve core business goals related to reimbursement, pricing and margin driving initiatives. The team builds advanced analytic solutions (using Machine Learning and other statistical techniques) to identify opportunities, collaborate across other stakeholders in the organization to implement the strategy, and measure impact. Additionally, the team builds tools and capabilities to enable business units to design, run, and measure their own interventions.As a Lead Data Scientist, your role will entail:• Seeing projects through from inception to production.• Working with a wide range of problem domains, including time-series forecasting, classification, regression, clustering to name a few.• Coordinating regularly with technical teams (Analytics, Data Engineering, IT) as well as non-technical business stakeholders and senior leadership.• Collaborating closely with business partners to identify new use cases, perform root-cause analyses, support decision-making, and gain insights from data.• Accountability, work with a sense of urgency, possess strong critical thinking and analytical skills, and have passion for developing high-performing analytics solutions• Develop and present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadership• Mentoring junior team members to provide technical guidance
Pay RangeThe typical pay range for this role is:Minimum: 115,000Maximum: 230,000
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities.  The Company offers a full range of medical, dental, and vision benefits.  Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees.  The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners.  As for time off, Company employees enjoy Paid Time Off (PTO) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
For more detailed information on available benefits, please visit
 jobs.CVSHealth.com/benefits
Required Qualifications• 6+ years of experience programming in SQL and Python• 3-5 years experience building machine learning and/or optimization models• Strong knowledge of the underlying mathematical and statistical principles that are foundational to data science• Experience building and utilizing a robust experimentation framework (e.g., A/B testing) to measure performance of deployed models• Ability to communicate technical concepts and implications effectively to non-technical business partners• Experience working with data visualization platforms (e.g., Tableau)• High energy and a sense of urgency to deliver results, attention to detail and ability to manage multiple projects simultaneously & meet deadlines.• Capability to anticipate and prevent project roadblocks before they occur
Preferred Qualifications• Experience with Palantir Foundry and Tableau• Strong understanding of health care industry, products, and systems • Experience with Spark/PySpark• Experience with cloud distributed-computing platforms (e.g., AWS, Azure Databricks, etc.), including querying/mining large datasets and deploying projects on cloud systems.• Knowledge of Git for version control.• Familiarity with working in an Agile framework.
EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.Master’s degree or PhD preferred
Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.  Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.  We strive to promote and sustain a culture of diversity, inclusion and belonging every day.  CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.  We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
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Research Scientist Responsible Ai

Who are we?
We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class.

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?
Cohere For AI is the dedicated research arm of Cohere, and our mission is to solve complex machine learning problems. We support fundamental research that explores the unknown, and are focused on creating more points of entry into machine learning research.

Cohere For AI intends to execute this mission through two different efforts 1) create spaces where engineers, researchers and multidisciplinary experts can connect and contribute to NLP and machine learning research, 2) provide research training that brings in new talent from across the world to the field of machine learning.

As a research scientist, you have an independent high-impact research agenda and are excited to work with researchers from all over the world. You actively contribute to the wider research community by sharing and publishing your findings and code. Your work evidences a consideration for the societal and ethical implications of machine learning.
You are interested in working on rigorously evaluating model risk at scale, efficient red teaming/alignment with human feedback, studying viable threat models in LLMs at scale, traceability guarantees, data governance and provenance, bias, and fairness.
You have a strong track record of mentorship and are excited to collaborate with independent researchers around the world who are new to the machine learning and NLP community.

You have a strong track record of mentorship and are excited to collaborate with independent researchers around the world who are new to the machine learning and NLP community.

Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.

As a Research Scientist, you will have:

Ph.D or equivalent research experience
Peer-reviewed publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
Have a demonstrated research interest and track record in one of the following domain areas: privacy, fairness, robustness, security, auditing tools, AI Safety, AI policy.
Strong machine learning and NLP fundamentals, with a demonstrated ability to design and execute on a research agenda.

You may be a good fit if you:

Enjoy collaborating widely
Have a track record of mentorship and are excited to democratize access to machine learning


Principal Data Scientist Operations Research

About Veho

Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.

As a Principal Data Scientist (Operations Research), you’ll be directly embedded in a team of talented engineers to help define, build, and operate sophisticated models to answer hard questions centered around improving our logistics network and user experiences.  You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting-edge technology.  You’ll work closely with software engineers to operationalize the models you build in the production systems that drive Veho.

You will

Develop and implement models and algorithms to solve complex problems using operations research, statistics, and machine learning technologies
Partner with functional areas (last mile, middle mile, ground operations, network planning) to develop to optimize our network across the board
Deep dive into current operations research solutions to develop insights, and provide recommendationsImplement operations research improvement initiatives that impact metrics and streamline network operations
Communicate with technical and business-oriented audiences

What you bring

Master or PhD in operations research plus experience developing and deploying optimization, predictive and machine learning models
Strong knowledge in operations research concepts such as linear (LP), nonlinear (NLP) and mixed-integer programing (MIP), network optimization and simulation
Experience with network optimization tools like OR-Tools, CPLEX, Gurobi, Xpress, COIN-ORPractical experience in developing large scale vehicle routing, network design, and warehouse solutions
Software development experience deploying OR solutions into productionExperience using statistical modeling or machine learning techniques to solve business problemsExpert SQL and Python skills
Familiarity with the gig economy space (preferred)

$210,000 - $240,000 a year
The base salary range for this position is $210,000-$240,000 and will be dependent upon a number of factors, such as education, work experience, skills and location. Additionally, Veho offers a competitive equity package, comprehensive medical, dental and vision coverage as well as other benefits such as 401k and unlimited PTO.

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.

Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.


Machine Learning Scientist Generative Ai

Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
We are seeking a highly skilled and innovative Generative AI Scientist to join our research and development team. As a Generative AI Scientist, you will play a crucial role in designing, developing, and implementing cutting-edge generative artificial intelligence models and algorithms specifically tailored for healthcare applications. Your work will contribute to improving patient care, optimizing clinical workflows, and advancing medical research. This position offers an exciting opportunity to leverage the power of generative AI to revolutionize healthcare and make a significant impact on people's lives.
What you'll do:

Build LLM-based and generative AI agents that solve impactful business challenges at Tempus across all our business units - touching on clinical notes, electronic health records, medical imaging, sequencing data, etc.
Healthcare-focused Research and Development: Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Stay up to date with the latest advancements in the field and adapt them to address healthcare-specific challenges, such as medical image generation, drug discovery, patient data analysis, or personalized medicine.
Model Design and Development: Design and implement generative AI models tailored for healthcare scenarios. Develop models that can generate realistic and high-quality medical images, synthetic patient data, or generate text-based medical reports
Experimentation and Evaluation: Design and execute experiments to evaluate the performance and effectiveness of generative AI models in healthcare settings. Develop appropriate evaluation metrics that align with healthcare outcomes and clinical requirements. Collaborate with domain experts, clinicians, and researchers to validate and refine the models' outputs.
Collaborative Teamwork: Collaborate closely with cross-functional teams, including healthcare professionals, data scientists, software engineers, and product managers. Leverage their expertise to guide your research, gain insights into real-world healthcare challenges, and translate your findings into practical solutions.
Prototyping and Implementation: Develop prototypes and proof-of-concept implementations of generative AI solutions for healthcare. Work closely with engineering teams to integrate your models into healthcare platforms, systems, or applications. Ensure scalability, efficiency, and robustness of the deployed solutions.
Regulatory Compliance and Ethical Considerations: Stay up to date with healthcare regulations, privacy laws, and ethical considerations relevant to the development and deployment of AI in healthcare. Ensure compliance with HIPAA, GDPR, and other applicable standards throughout the development process.
Continuous Learning and Industry Engagement: Stay actively involved in the healthcare and AI research communities. Attend relevant conferences, workshops, and seminars. Publish research findings in reputable scientific venues. Collaborate with academic and industry partners to advance the state-of-the-art in generative AI for healthcare.

Qualifications:

Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Biomedical Engineering, or a related field. A strong academic background with a focus on generative AI and healthcare applications is highly preferred.
Extensive experience in developing and implementing generative AI models, such as GANs, VAEs, and related architectures.
Proficiency in programming languages commonly used in AI research, such as Python and TensorFlow/PyTorch. Experience with healthcare-specific frameworks (e.g., DICOM, FHIR) is a plus.
Solid knowledge of machine learning concepts, including deep learning, optimization algorithms, regularization techniques, and model
Bias-to-action, appetite for high-risk high-gain projects with a pragmatic approach to rapid and measurable progress
Strong track record in publications, patents, and/or launched products in this space

Nice-to-haves:

Experience working with sensitive healthcare data, medical imaging modalities, clinical workflows, and healthcare terminology. Familiarity with electronic health records (EHRs) and medical imaging formats (e.g., DICOM) is advantageous.
Experience in late-stage startup environment
Experience building and bringing practical use, knowledge graphs and graph-based machine learning models
Expertise with embedding, multimodal fusion

#LI-EV1


Data Scientist Product

What is Underdog?
Founded by a team of industry veterans, Underdog was born with the idea that bringing strategic innovation to sports gaming and entertainment is the key to success in an exceptionally competitive market. Underdog has quickly established itself as a leader in the space, and is committed to building the best sports gaming platform in the industry -- and supporting the most passionate community of sports fans while doing it!
At Underdog, we’re not only about creating these awesome products, but also about growing our culture of passion, ownership, and fun! We believe that great companies are made out of great people. Our continual aim is to create an inclusive environment for everyone, at all levels, to achieve their highest potential at work.
We are looking for intellectually curious, innovative and driven individuals to be the part of our Data Science - Product Analytics team. As a Data Scientist at Underdog, you’ll be guiding the next-gen AI powered gaming platform that will lead the sports gaming industry. You will be part of a team whose focus is to solve cutting edge data science problems in product.
The ideal candidate will have a strong product sense and background in analytics and statistics. In this role, you will have a chance to shape strategy for critical product areas through data and will guide product development with relevant insights based on analysis. You will be the subject matter expert on metrics and success measurement, experiment design, and visual storytelling via data. You are focused on impact, and have the skills to understand customers and promote growth.
You should demonstrate curiosity, data fluency, and a collaborative work ethic.
Your role will be to take ownership of generating insights and recommendations to shape our product roadmap and go-to-market strategy. You will partner closely with Product, Engineering, Design, Marketing, UX Research, and Operations to define, prioritize and execute initiatives that drive business growth.
You will develop analytical frameworks, observational analyses, models, features or metrics that leverage the massive scale of Underdog’s user base to understand user behavior, and to optimize the experience at all stages of the user journey.
Please note, Underdog is a US based company and no sponsorship is available for this position at this time.
What you’ll do:

Create edge-of-the-seat product and customer insights that enable Product Directors/Managers to define strategy and prioritize roadmaps
Influence decision makers in cross-functional teams by (re)defining key metrics of success, building data-driven narratives on growth opportunities, and sizing outcomes
Partner with Product, Technology, Design, and other teams to ideate, test, and launch product features; own deep-dive analysis of post-launch impact and recommendations to optimize product experience
Maintain a constant pulse on health of the business & product by tracking KPIs against targets and conducting investigations of key trends and their underlying drivers
Design and execute experiments/AB tests, analyze/interpret results to impact product performance
Implement analytical solutions to support key product objectives
Develop and implement data visualizations and interactive dashboards to facilitate communication and insights generation to stakeholders

Who you are:

BS, MS, or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related academic/work experience
3 + years of experience in analytics, product strategy, management consulting, business intelligence, with experience analyzing large datasets and developing statistical solutions
Experience influencing decision makers across cross-functional teams using insights generated through quantitative and qualitative data and analyses
Ability to synthesize data into actionable insights across all levels of stakeholders (business, technical, and executives)
Extensive experience with large-scale datasets using SQL and programming languages such as Python or R
Proven experience developing and implementing data visualizations and dashboards to communicate insights to stakeholders (Tableau/Looker etc.)
Strong analytical and problem-solving skills, thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them
Ability to work autonomously and lead initiatives across multiple product areas
Effective communication and presentation skills, with the ability to translate complex analyses to non-technical stakeholders

Even better if you have…

Experience with cloud-based data platforms and data warehousing solutions (e.g. BigQuery, Snowflake, Redshift, Azure, GCP)
Stay up-to-date with the latest trends and developments in product analytics and data science

Underdog Sports is firmly committed to equity, inclusion, and diversity. Our unique culture was built on the foundation of a safe and inclusive environment for people of all backgrounds. We highly value the mental, physical, and emotional health of our employees, and are continuously asking ourselves: what can we do better? Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status or any other defining characteristic. Our targeted compensation rate for this position is between $140,000 and $190,000, depending on experience, plus equity. Think your skills are exceptional and warrant higher pay? Apply anyway! If we agree, we're willing to negotiate. Below you’ll find a few of our perks:

Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
16 weeks of fully paid parental leave
Company paid Health, Dental, Vision plan option for employees and dependents
401k Match & FSA
Remote, In-Person, or Hybrid Scheduling – we are 100% VIRTUAL FIRST!
A $500 home office allowance
$100 in UD credit
Support for learning and development
Book club – expense your books!
Monthly raffle to win a sports ticket reimbursement of up to $500 (including game day snacks!)
Lastly, an extremely transparent, fun, and engaging culture where you will grow both personally and professionally!

#LI-REMOTE


Data Scientist Marketing

What is Underdog?
Founded by a team of industry veterans, Underdog was born with the idea that bringing strategic innovation to sports gaming and entertainment is the key to success in an exceptionally competitive market. Underdog has quickly established itself as a leader in the space, and is committed to building the best sports gaming platform in the industry -- and supporting the most passionate community of sports fans while doing it!
At Underdog, we’re not only about creating these awesome products, but also about growing our culture of passion, ownership, and fun! We believe that great companies are made out of great people. Our continual aim is to create an inclusive environment for everyone, at all levels, to achieve their highest potential at work.
We are seeking intellectually curious, innovative, and highly motivated individuals to join our Data Science Marketing Analytics team as foundational members. As a Data Scientist at Underdog, You will play a crucial role in driving our marketing capabilities, fueling the development of next-generation AI-powered gaming platforms that will revolutionize the sports gaming industry. Join a dynamic team dedicated to tackling cutting-edge data science challenges in the realm of growth marketing.
In this role, you will be responsible for analyzing marketing data to identify trends, patterns,and  delivering insights that will inform marketing strategy and drive business decisions. The ideal candidate will have a strong background in data mining, analytics and statistics, as well as experience in marketing.
You will develop analytical frameworks, observational analyses, models, features or metrics that leverage the massive scale of Underdog’s user base to understand user behavior, and to optimize the experience at all stages of the user journey. You will work closely with the machine learning team to develop advanced analytics solutions that drive business value. (e.g. marketing attribution, customer acquisition, user churn/retention, maximizing lifetime value of users, experiment design (AB testing), cohort analysis, propensity scoring etc.)
Please note, Underdog is a US based company and no sponsorship is available for this position at this time.
What you’ll do:

Analyze business performance and trends, providing actionable insights and root cause analysis to allow for rapid response in business decisions
Develop and implement advanced analytical models, including predictive propensity and marketing attribution models, to drive revenue and assist in informed decision making
Develop and maintain performance metrics, KPIs, and experimental analysis to support reporting needs for stakeholders and executive leadership
Design and execute experiments/AB tests, analyze/interpret results to impact product performance
Develop and implement data visualizations and interactive dashboards to facilitate communication and insights generation to stakeholders
Collaborate with cross-functional teams to identify data needs and develop data-driven solutions
Stay up-to-date with the latest trends and developments in marketing analytics and data science
Develop an understanding of marketing strategy and trends and contribute to data-driven decision making

Who you are:

BS, MS, or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science, Marketing or related academic/work experience
3+ years of experience in marketing analytics, with experience analyzing large datasets and developing analytical solutions
Experience in marketing data analytics, and/or digital marketing analytics, and/or web analytics

Strong experience with large-scale datasets using SQL and programming languages such as Python or R

Proven experience developing and implementing data visualizations and dashboards to communicate insights to stakeholders (Tableau/Looker etc.)
Experience with cloud-based data platforms and data warehousing solutions (e.g. BigQuery, Redshift, GCP, AWS)
Strong analytical and problem-solving skills, thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them

Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and marketing teams

Effective communication and presentation skills, with the ability to translate complex analyses to non-technical stakeholders
Familiarity with data warehousing, data pipelines, and data governance best practices

Even better if you have…

MS, PhD in Statistics or related field
Experience with predictive modeling using machine learning
Experience working with marketing stakeholders
Demonstrated experience leading a marketing analysis project where your recommendations had an impact on the business

Underdog Sports is firmly committed to equity, inclusion, and diversity. Our unique culture was built on the foundation of a safe and inclusive environment for people of all backgrounds. We highly value the mental, physical, and emotional health of our employees, and are continuously asking ourselves: what can we do better? Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status or any other defining characteristic. Our targeted compensation rate for this position is between $140,000 and $190,000, depending on experience, plus equity. Think your skills are exceptional and warrant higher pay? Apply anyway! If we agree, we're willing to negotiate. Below you’ll find a few of our perks:

Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
16 weeks of fully paid parental leave
Company paid Health, Dental, Vision plan option for employees and dependents
401k Match & FSA
Remote, In-Person, or Hybrid Scheduling – we are 100% VIRTUAL FIRST!
A $500 home office allowance
$100 in UD credit
Support for learning and development
Book club – expense your books!
Monthly raffle to win a sports ticket reimbursement of up to $500 (including game day snacks!)
Lastly, an extremely transparent, fun, and engaging culture where you will grow both personally and professionally!

#LI-REMOTE


Data Scientist Finance

What is Underdog?
Founded by a team of industry veterans, Underdog was born with the idea that bringing strategic innovation to sports gaming and entertainment is the key to success in an exceptionally competitive market. Underdog has quickly established itself as a leader in the space, and is committed to building the best sports gaming platform in the industry -- and supporting the most passionate community of sports fans while doing it!
At Underdog, we’re not only about creating these awesome products, but also about growing our culture of passion, ownership, and fun! We believe that great companies are made out of great people. Our continual aim is to create an inclusive environment for everyone, at all levels, to achieve their highest potential at work.
We are seeking intellectually curious, innovative, and highly motivated individuals to join our Data Science Marketing Analytics team as foundational members. As a Data Scientist at Underdog, You will play a crucial role in driving our financial capabilities, fueling the development of next-generation AI-powered gaming platforms that will revolutionize the sports gaming industry. Join a dynamic team dedicated to tackling cutting-edge data science challenges in the realm of finance analytics.
In this role, you will be responsible for analyzing and interpreting complex customer activities or financial data to drive business decisions and improve financial performance. The ideal candidate will have a strong background in data mining, analytics and statistics, as well as experience in financial analysis and reporting.
You will develop analytical frameworks, observational analyses, models, features or metrics that leverage the massive scale of Underdog’s user base to understand revenue impact from user behavior, address business challenges such as forecasting financial trends, customer segmentation. You will work closely with the machine learning team to develop advanced analytics solutions that drive business value.
Please note, Underdog is a US based company and no sponsorship is available for this position at this time.
What you’ll do:

Analyze business performance and trends, providing actionable insights and root cause analysis to allow for rapid response in business decisions
Develop and implement advanced analytical models to drive revenue and assist in informed decision making
Develop and maintain performance metrics, KPIs, and experimental analysis to support reporting needs for stakeholders and executive leadership
Design and execute experiments/AB tests, analyze/interpret results to impact product performance
Implement analytical solutions to support key finance functions such as budgeting, forecasting, and planning
Develop and implement data visualizations and interactive dashboards to facilitate communication and insights generation to stakeholders
Collaborate with cross-functional teams to identify data needs and develop data-driven solutions
Stay up-to-date with the latest trends and developments in analytics, data science and finance

Who you are:

BS, MS, or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science, Finance or related academic/work experience
3+ years of experience in analytics, with experience analyzing large datasets and developing analytical solutions
Strong experience with large-scale datasets using SQL and programming languages such as Python or R
Proven experience developing and implementing data visualizations and dashboards to communicate insights to stakeholders (Tableau/Looker etc.)
Experience with cloud-based data platforms and data warehousing solutions (e.g. BigQuery, Snowflake, Redshift, Azure, GCP)
Strong analytical and problem-solving skills, thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them
Ability to work autonomously and lead initiatives across multiple product areas
Effective communication and presentation skills, with the ability to translate complex analyses to non-technical stakeholders
Familiarity with data warehousing, data pipelines, and data governance best practices

Even better if you have…

MS, PhD in Statistics or related field with research in machine learning
Experience in finance data analytics
Experience in financial analysis and reporting
Familiarity with financial statements and accounting principles
Knowledge of financial planning and analysis (FP&A) best practices

Underdog Sports is firmly committed to equity, inclusion, and diversity. Our unique culture was built on the foundation of a safe and inclusive environment for people of all backgrounds. We highly value the mental, physical, and emotional health of our employees, and are continuously asking ourselves: what can we do better? Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status or any other defining characteristic. Our targeted compensation rate for this position is between $140,000 and $190,000, depending on experience, plus equity. Think your skills are exceptional and warrant higher pay? Apply anyway! If we agree, we're willing to negotiate. Below you’ll find a few of our perks:

Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
16 weeks of fully paid parental leave
Company paid Health, Dental, Vision plan option for employees and dependents
401k Match & FSA
Remote, In-Person, or Hybrid Scheduling – we are 100% VIRTUAL FIRST!
A $500 home office allowance
$100 in UD credit
Support for learning and development
Book club – expense your books!
Monthly raffle to win a sports ticket reimbursement of up to $500 (including game day snacks!)
Lastly, an extremely transparent, fun, and engaging culture where you will grow both personally and professionally!

#LI-REMOTE


Data Scientist Optimization

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees bring deep expertise in Data Science, Machine Learning, and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   We are looking for a robust Senior Data Scientist with Optimization experience (in particular, integer programming, mixed integer programming) and solid knowledge of reinforcement learning, deep learning, and strong coding capabilities. This person will be responsible for writing complex production-level codes. Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.   Ph.D. (highly preferred) or Master’s in Computer Science, Statistics, Economics, Data Science, or a related field. At least 6+ years of extensive Data Science      experience with robust Optimization experience (specifically, integer programming, mixed integer programming) and deep Reinforcement Learning knowledge is a must.   Strong statistics foundation and knowledge of      statistical packages. Highly proficient with Python and SQL and can write complex Python codes and SQL queries.   A solid knowledge of deep learning, quick      learner, and a strong coding capability. This person will be responsible      for writing complex production-level codes.   Hands-on experience building models is a must. A simulation experience is plus. Retail/CPG or Supply Chain experience is a must.   Exceptional communication and collaboration skills to understand      business partner needs and deliver solutions. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Senior Director Data Science R

Why We Work at Dun & Bradstreet
Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us!

The Senior Director, Data Science will work with decision-makers across the company or external clients to understand their business goals, identify opportunities to use data and analytics to develop new insights, and to improve business results

The Senior Director, Data Science will establish and maintain strong relationships with key business stakeholders

The Senior Director, Data Science will take the analytical lead in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting

This role will serve as a Subject Matter Expert on predictive models within the Advanced Analytic Services team and with business users; consult with the business, as appropriate, on predictive modeling solutions

The Senior Director, Data Science will validate the performance of existing quantitative risk models, to ensure that key KPIs are set and attained, and to recommend changes when necessary

This role will partner with internal D&B team to develop new business solutions in risk analytics

Requirements:

Master’s degree or higher with concentration in a quantitative discipline such as (Math/Stat, Economics, Computer Science, Finance, Operations Research, etc.) with 8+ years of applicable experience
Experience leading data scientists’ team
Ability to effectively communicate complex ideas to both a technical and non-technical audience
Strong client collaboration skills, including the ability to build and maintain relationships with clients
Ability to design and develop analytics products end to end
Deep knowledge and experiences in Machine Learning and AI and its application.
Hands on experience of building analytics solutions and the ability to conduct research utilizing Python, PySpark and SQL
Strong model development experiences for financial industry
Creative and inquisitive in nature, flexibility to learn and apply new methodologies

Preferred Qualifications

Experience of development for Fraud prevention solutions
Strong business acumen, especially in Financial Services Industry Experience or Supply Chain applications
Consulting Experience working with outside clients on statistical engagements
Strong technical writing skills
Passionate on stay abreast of cutting-edge ML and NLP methods, with good grasp of state-of-the-art NLP algorithms

$150,700 - $255,200 a year
**This role is eligible for Bonus**

Benefits We Offer

·	Generous paid time off in your first year, increasing with tenure.

·  Up to 16 weeks 100% paid parental leave after one year of employment.

·  Paid sick time to care for yourself or family members.

·  Education assistance and extensive training resources.

·  Do Good Program: Paid volunteer days & donation matching.

·  Competitive 401k & Employee Stock Purchase Plan with company matching.

·  Health & wellness benefits, including discounted Gympass membership rates.

·  Medical, dental & vision insurance for you, spouse/partner & dependents.

·  Learn more about our benefits: http://bit.ly/41Yyc3d.

Pay Transparency
Dun & Bradstreet is an equal employment opportunity employer and believes in honesty and transparency in the employment hiring process, including pay transparency. Accordingly, listed on this posting is a good faith reasonable estimate of the salary range and other compensation in the job posting, as of the date of this posting.  Actual compensation decisions for base salary and other compensation will be dependent upon a wide range of factors including but not limited to: an individual’s skill sets, experience, qualification, training, education, location, and any other legally permissible factors. Successful applicants will also be eligible for D&B’s generous benefit package, outlined above.

All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

Equal Employment Opportunity (EEO): Dun & Bradstreet is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law.  View the EEO is the Law poster here and its supplement here. View the pay transparency policy here.

Global Recruitment Privacy Notice


Data Science Director

Altoida is a pioneer in developing digital biomarkers of neurological disease using augmented reality and machine learning. Our technology platform is designed to enable an objective evaluation of an individual’s neurological health, allowing for more accurate patient selection and stratification for clinical trials, as well as sensitive monitoring of disease progression. Altoida’s mission is to provide life sciences companies with actionable insights using real-world data to increase the success rate for novel therapeutics, and usher in a new era of precision neurology using digital biomarkers. Our proprietary evidence-based platform is founded on more than 20 years of scientific research and published in multiple peer-reviewed papers including Nature Digital Medicine. For more information, visit www.altoida.com. Follow us on Twitter @altoida.

Altoida’s culture is united around six core principles:
- Patient-First
- Open Communication
- Collaborative
- Reliable
- Embrace Positive Change
- Think and Build at Scale

We are looking for an entrepreneurial Data Science leader who values moving quickly to innovate and execute product initiatives. The Director of Data Science helps develop product strategies and lays out the analytic vision and roadmap to help the integrated Product Development team to deliver accordingly. This leader will bring robust, end-to-end analytics leadership experience that includes data science life cycle processes and data engineering, and work closely with other leaders, including Product Management and Engineering, to establish a world-class culture of data analytics and machine learning. They will report to the Vice President of Product and Software Development.

Responsibilities (Leadership)

Influence leadership and peers across functional lines within Altoida to develop a consistent and transparent digital and data science strategy
Build and maintain partnerships with internal and external stakeholders to augment data science capability and innovation

Responsibilities (Data Science)

Demonstrated experience and understanding of generative, discriminative, and contrastive ML methods with application in classification and gradient boosting techniques, knowledge discovery and causal inference
Broad understanding of applied mathematics and statistics (e.g., Bayesian, Multi-Objective Optimization, Topological Data Analysis) and effective application in addressing multiple comparison problems, data independence, collinearity and other factors that improve overall interpretation of results
Willing to take a hands-on role to deliver on multiple, highly visible projects, plus the ability to develop and coach others, and guide other team members to achieve outcomes that create meaningful business impact
Serve as an ambassador for Data Science at Altoida by presenting and publishing articles
Build a bridge between academia, technology, and industry partners to drive improvements in data science capability & processes, including access to external data from regulatory and other 3rd party sources, as applicable
Partner internally and cross-functionally on data-driven strategies to ensure an optimized and consistent approach (data standards) to metrics, thresholds, etc. that meet stakeholder needs
Assess, influence and ensure data quality / validation procedures, including managing the curation, documentation, protection, and storage as per policy
Explore / coordinate implementation advancements in AI, ML and related technology / tools, including external benchmarking to pharma and other leading organizations
Strong ability to explain ML and AI concepts internally and to regulators, as applicable to our products, including how to minimize bias in the product and increase scale
Guide the continuous calibration of model outputs to maximize performance and external validity, while following data security protocols
Provide objective assessments to assist leadership in prioritizing investments in data-science capabilities and projects
Keep pace with latest developments in the field and mentor associates accordingly

Responsibilities (Operational Excellence)

Accountable for design and timely delivery of the digital / data science strategies
Accountable for ensuring validation / controls are in place to support data science capabilities and models, including the consistent application of data quality standards
Accountable for delivering on ML research & development across multiple concurrent projects and smooth transition to production, as applicable

Desired Skills and Experiences

10+ years of work experience leading data teams, working collaboratively with Product, Engineering and cross-functional partners, and guiding data-driven product planning, prioritization, and strategy development
Executive-level communication skills for cross-functional collaboration across teams
Able to think innovatively and to develop and execute strategic plans pursuant to the responsibilities of the role, solving complex and unique problems
Previous people leadership experience and experience leading the development and technical growth of colleagues to support business transformation
Experience in hiring, retaining, and scaling geographically dispersed, high-performing teams
Experience influencing product strategy and driving change across organizational boundaries through clear and compelling communication of data-driven insights and analyses
Experience in a technical leadership role, such as Statistics, Mathematics, Computer Science, or a related field with strong analytical skills to assess information, draw conclusions and recommend improvements
Well-developed interpersonal skills with ability to collaborate across functions and work effectively across all levels of the organization
Knowledge of Quality Management Systems, healthcare data standards and regulations, including HIPAA
Experience with Python object-oriented development and related scientific & statistical packages, SQL, and other programming languages

The position is remote with East Coast / Boston, MA candidates preferred. Minor travel is expected.

Compensation

Altoida provides competitive and comprehensive compensation and benefits programs. Specific benefit offerings may vary by location, position, and/or business unit. The full-time salary range is commensurate with experience.

Location
Altoida’s US headquarters is located in Washington, DC. The position is remote.

Equal Opportunity
Altoida does not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Altoida is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.


Data Scientist Senior Geo

About Veho

Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.

As a Senior Data Scientist, you’ll be directly embedded in a team of talented engineers to help define, build, and operate sophisticated models to answer hard questions centered around improving our logistics network and user experiences.  You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting-edge technology.  You’ll work closely with software engineers to operationalize the models you build in the production systems that drive Veho.

You will:

Understanding business context and gathering requirements
Build and iterate on models to meet requirements using Python
Create data pipelines to feed analysis and productionized models
Integrate models into production systems using MLOps best practices
Analyze impact and effectiveness of models in production systems

What you bring:

Bachelor’s Degree plus 4 years of experience in data science or data engineering, or Master’s Degree plus 2 years in data science or data engineering
Experience using statistical modeling or machine learning techniques to solve business problems
Strong SQL and Python skills
At least 3 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
At least 1 year of experience with analytical relational databases like Redshift, BigQuery, or Snowflake
At least 1 year of experience working with cloud-based data engineering and data science tools
Experience working with large-scale geo track and trace data sets (preferred)
Familiarity with the gig economy space (preferred)
Experience managing and deploying real-time models in production (preferred)

$150,000 - $170,000 a year
The base salary range for this position is $150,000-$170,000 and will be dependent upon a number of factors, such as education, work experience, skills and location. Additionally, Veho offers a competitive equity package, comprehensive medical, dental and vision coverage as well as other benefits such as 401k and unlimited PTO.

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.

Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.


Data Scientist Senior Experimentation

About Veho

Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.

As a Senior Data Scientist (Experimentation), you’ll be directly embedded in data science, operations, product, and engineering teams to quantify the effectiveness of process changes across Veho.  You’ll partner with product managers to understand high-value business problems, build systems that inform experimental design, and work with cutting-edge technology.

Responsibilities Include:

You’ll serve as the key contact for defining and designing test strategies across numerous business decision verticals
Educate users on the role testing and insights can play to accelerate insights and reduce the risk
Build reliable and efficient, experimentation tools to speed up design and analysis
Create robust data pipelines to feed downstream analyses
Ensuring data quality and data integrity through best practices in data integration
Analyze and evaluate the impact of changes production systems

What You Bring:

Bachelor’s Degree plus 4 years of experience in data science or data engineering, or Master’s Degree plus 2 years in data science
Familiarity with statistical modeling or machine learning techniques to solve business problems
Strong SQL and Python skills
Proficient in A/B, multivariate testing in a multi-channel setting
Experience dealing with network effects via switchbacks or synthetic controls
At least 2 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
At least 2 years of experience with analytical relational databases like Redshift, BigQuery, or Snowflake

$150,000 - $165,000 a year
The base salary range for this position is $150,000-$165,000 and will be dependent upon a number of factors, such as education, work experience, skills and location. Additionally, Veho offers a competitive equity package, comprehensive medical, dental and vision coverage as well as other benefits such as 401k and unlimited PTO.

#LI-Remote

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.

Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.


Data Scientist Senior Customer Client

About Veho

Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.

As a Senior Data Scientist, you’ll be directly embedded in a team of talented engineers to help define, build, and operate sophisticated models to answer hard questions centered around improving our client and user experiences.  You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting-edge technology.

Responsibilities Include:

Understanding business context and gathering requirements
Proactively identify the most impactful opportunities to shape product roadmaps whithin the consumer and client space
Building reliable, efficient, and scalable models for our AI/ML capabilities
Creating robust data and automation pipelines to effectively generate insights and trends
Ensuring data quality and data integrity through best practices in data integration
Analyze and evaluate the impact and effectiveness of models in production systems
Help design consumer or client experiments to quantify the value of unique Veho services

What You Bring:

Bachelor’s Degree plus 3 years of experience in data science or data engineering, or Master’s Degree plus 2 years in data science
Experience using statistical modeling or machine learning techniques to solve business problems
Strong SQL and Python skills
Experience building consumer or client facing sales tools that leverage analytics/machine learning
Experience designing and running experiments
At least 2 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
At least 2 years of experience with analytical relational databases like Redshift, BigQuery, or Snowflake
At least 2 years of experience working with cloud-based data engineering and data science tools.

$150,000 - $165,000 a year
The base salary range for this position is $150,000-$165,000 and will be dependent upon a number of factors, such as education, work experience, skills and location. Additionally, Veho offers a competitive equity package, comprehensive medical, dental and vision coverage as well as other benefits such as 401k and unlimited PTO.

#LI-Remote

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.

Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.


Data Scientist Product Analyst Marketplace

About Veho

Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.

As a Product Data Scientist, you’ll be directly embedded in a team of data scientists, engineers, and machine learning engineers to help scope, quantify, and investigate modeling-based solutions with our logistics network and user experiences.  You’ll partner with product managers to understand high-value business problems, build insights that inform daily operations, and work with cutting-edge technology.

Responsibilities Include:

Understanding business context and gathering requirements
Build reliable, efficient, resources to monitor our AI/ML capabilities
Present and educate to stakeholders and leadership models impacts, changes and analytical insights
Create robust data pipelines to feed analyses
Ensure data quality and data integrity through best practices in data integration
Analyze and evaluate the impact and effectiveness of model changes in production systems via experiments

What You Bring:

Bachelor’s Degree plus 2 years of experience in data science or data engineering, or Master’s Degree plus 1 years in data science
Experience using statistical modeling or machine learning techniques to solve business problems
Strong SQL, Python and dashboarding skills
Experience building ETA models or levering geo track and trace data to generate insights
Experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
Experience with analytical relational databases like Redshift, BigQuery, or Snowflake
Experience with vehicle routing problems or logistics is nice to have but not required

$110,000 - $125,000 a year
The base salary range for this position is $110,000-$125,000 and will be dependent upon a number of factors, such as education, work experience, skills and location. Additionally, Veho offers a competitive equity package, comprehensive medical, dental and vision coverage as well as other benefits such as 401k and unlimited PTO.

Veho is a growth company that looks for team members to grow with it. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.  Applicants must be able to understand and effectively communicate orally and in writing with all parties regarding work matters, which are generally conducted in English.

Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, or any other protected class.

#LI-Remote

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.

Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.


Data Scientist Services

StreetLight pioneered the use of Big Data analytics to shed light on how people, goods, and services move, empowering smarter, data-driven transportation decisions. The company applies proprietary machine-learning algorithms and data processing resources to measure travel patterns of vehicles, bicycles and pedestrians that enable complex transportation problem solving using analytics available on SaaS platform, StreetLight InSight®. Acquired by Jacobs as a subsidiary in February 2022, StreetLight continues to provide innovative digital solutions to help communities reduce congestion, improve safe and equitable transportation, and maximize the positive impact of infrastructure investment.

As a Data Scientist on our Services team, your role will be vital in shaping our services offerings. You will directly influence the success of our customers by developing data-driven solutions tailored to their unique needs. Utilizing your data science expertise, you will be tasked not only with the creation of these solutions but also with the proactive identification and validation of potential new services offerings.

In this role, you will harness the power of StreetLight's extensive repository of transportation data, formulating efficient queries to deliver the answers our customers seek. Employing innovative visualization techniques and synthesizing diverse data sets, you willprovide comprehensive insights. As a key contributor to our lean launch program, your data insights will enable the identification, prototyping, and validation of new product concepts.

Location: We are flexible on the location of this position - it could be in any one of our corporate offices, or remote within the US or Canada.

Key Responsibilities

Design and refine algorithms to infer key transportation patterns from various data sources, including both StreetLight's proprietary data and metrics, as well as external data. Apply these insights to explore and validate potential new services offerings.
Research, implement, and optimize suitable strategies for tackling data science problems
Use advanced statistical tools for the analysis and validation of results, ensuring the viability of potential new services and lean launch prototypes.
Effectively communicate final results to stakeholders, providing thorough documentation and supporting interactive visualizations of data for informed decision-making.
Collaborate closely with Sales, Solutions Engineers, and Account Management to translate customer requests into clearly defined, timely outputs that exceed customer expectations.
As part of a dynamic team at StreetLight, proactively identify opportunities for process improvements and contribute to the evolution of our service offerings.

Qualification & Skills

BS / MS in Computer Science, Mathematics, or an Engineering discipline from a top university.
Proficiency in Python with 5+ years of experience, including familiarity with data-focused libraries such as pandas, NumPy, SciPy, and scikit-learn.
Experience with relational databases and SQL, including a strong understanding of concepts. Familiarity with BigQuery is preferred.
Solid understanding of techniques in data science, including machine learning algorithms, forecasting, regression analysis, etc.
Expertise in data visualization, preferably with experience using ArcGIS for web mapping and interactive dashboard creation.
Ability to accurately estimate the time requirements for complex tasks, meet those targets, and make compromises to enable scalability and productization of algorithms.
Familiarity with software engineering principles, reflecting an understanding of how robust, scalable systems are built.
Knowledge of geospatial data, statistics, and experience with geospatial databases such as PostGIS is a plus.
Experience with transportation data/industry is a plus. This includes working in a transportation-focused role within government, consulting, private-sector mobility, or a non-profit.
Strong communication skills - written, visual (presentations, charts, maps), and verbal.

The base salary range for this position is $140,000 to $150,000. This range reflects the minimum and maximum target for new hire salaries for the position across all US locations (remote). Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Interested? StreetLight Data offers a competitive salary and benefits package.

StreetLight Data is an equal opportunity/affirmative action employer. StreetLight provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.


Data Scientist International

We are looking for problem solvers with mastery in analytics, statistics and machine learning to join the fully remote Sr. Data Science team at Varsity Tutors. This team partners with product and engineering to discover insights and develop algorithmic solutions that support personalization at scale.
The qualified Sr. Data Scientist will hold an advanced quantitative degree with experience building forecasting systems, recommender models, or ranking algorithms. The candidate is expected to be comfortable developing prototypes that can be productized by engineering to develop real-time systems. Candidates must be comfortable with pushing through ambiguity and passionate about solving problems at scale and with speed.
About Nerdy:
Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/.
Qualifications:

M.S. degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics).
3+ years of professional data science experience
Applied skills in the areas of statistical inference, probability, machine learning (unsupervised and supervised).
Previous experience with production models, i.e. post-deployment responsibility
Ability to develop ML or statistical analyses software in R or Python
Experience with building recommender systems and implementation with a breadth of matching algorithms is a plus.
Experience with Bayesian reasoning, Natural Language Processing, classification, ranking systems is a plus.
Relentlessly curious and strong bias for action.
Great communication skills

Responsibilities:

Develop algorithmic systems to enable personalization for our consultative sales organization.
Partner with operations and engineering to identify impactful problems, and turn business goals into objective functions.
Design experiments to rapidly establish causal relationships.
Drive initiatives from conception to production with measurable impact to the business.
Define creative services to thorny problems using mathematical algorithms

Varsity Tutors Leadership Principles
Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot
Benefits/Culture:

Competitive Salary plus Equity in the company
Healthcare Plans (Medical, Dental, Vision, Life)
401k Company Matching Plan
Remote Position, fully work from home anywhere in the U.S.
Flexible PTO
Paid VTO ("volunteer time off" to do community service/charity work)
52 hours of Free Learning Sessions per year for you or immediate families members and free access to our online classes
Once in a lifetime opportunity to help revolutionize how the world learns!
Fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture

Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. (INDHP)


Principal Data Scientist Search And Personalization United States

Principal Data Scientist, Search and Personalization -  United States (Remote)

Duration: Permanent

Location: United States (Remote)
Start: ASAP

Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.

Who You Are:
We are looking for a Principal Data Scientist to lead the development of our search, personalization, and recommendations. Using your deep machine learning expertise while considering the broader business context, you will lead, and guide our data scientists, and analysts team to develop industry-leading recommendations in visual search. This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics!

Your Next Challenge:

Build industry-leading algorithms using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences
Lead, guide, and mentor data scientists and data analysts in formulating, and implementing our strategy
Develop our technical ranking roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success
Develop and implement online and offline testing and validation methodologies
Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms in the production process

What You'll Need:

Proven expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products
A minimum of 5 years validated experience
Proven expertise as a technical lead providing mentorship and guidance to team members.
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems
Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
Outstanding interpersonal skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
You are clear, credible, and forward-thinking!
A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful

Mental and Physical Demands:

A quiet location with reliable high-speed internet connectivity, environment suitable for professional work (desk, chair, external monitor, etc.)
Frequent communication with others to exchange information
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc
Constant assessment of accuracy and thoroughness of the work assignment

$122,400 - $204,000 a year
The starting salary range for this position at time of posting is USD 122,400 to USD 204,000 per annum. Getty Images has different ranges in different locations within the US, and this range represents the starting base pay range. Actual compensation will depend on factors including but not limited to: qualifications, geographic location, skills, experience, certification, business needs, performance, and level of responsibility along with the requirements of the position. The company reserves the right to modify this pay range at any point in the future. Getty Images is committed to the health and well-being of its employees and benefits for full-time permanent employees may include participation in the company incentive program, equity, and benefits package which is inclusive of medical, dental, vision, 401(k) match, paid company holidays and time off, and paid parental leave. Visit our career site to learn more about our career opportunities and Diversity & Inclusion commitments.

Benefits at Getty Images

Health Insurance
We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire.  For more information on these benefits, you may request an electronic copy of our Benefits Guide.

Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.

Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.

Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.

Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.

401(k)
Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!

Learning & growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.
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Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

US Specific:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

Who We Are:
Getty Images is a preeminent global visual content creator and marketplace. Through Getty Images, iStock, and Unsplash, we offer a full range of content solutions to meet the needs of any customer—no matter their size—around the globe.

Getty Images encompasses the largest and best path to market for visual creators through their premier brands including its core, Getty Images; iStock, a value offering of creative stills and videos providing a significant volume of exclusive content to small and medium-sized businesses; and Unsplash, a free offering of creative stills servicing the fast-growing and broad-based creator economy.

Help us move the world with images! Bringing award-winning imagery to everyone, Getty Images has customers in almost every country in the world, with websites in 23 languages, bringing the world’s best content to media outlets, advertising agencies and corporations, small businesses and increasingly, direct to consumers.

Getty Images works with over 516,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport, and entertainment events around the globe. With over 520 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.

Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allow our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.

Leadership Principles
As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.

We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.

We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.

We collectively bring solutions
We love debate but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.

We care, are kind, courteous, and respectful
We will not tolerate rudeness.

We reject biased behavior and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.

We are inclusive of different voices, perspectives, and experiences
Diversity and inclusion are never done, but we are passionate in their pursuit.

We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.

We deliver on our commitments, and commercial goals
With one voice and shared accountability.

We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.

We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people, and people with disabilities are encouraged to apply.

Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or submitting an online application, please email RecruitingAccommodations@gettyimages.com.

Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.

For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.

Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.

Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment that celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.


Data Science Manager

The Data Science team builds production machine learning models that are the core of Signifyd's product.
We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks' orders that are incorrectly declined and by making account hijacking less profitable for criminals.
The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.
We value collaboration and team ownership -- no one should feel they're solving a hard problem alone.
Together we help each other develop our skills through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects.
The Data Science and Engineering team at Signifyd have always had a strong contingent of remote folks, individual contributors and team leads. The challenges of working remotely aren't new to us and we have experienced iterative improvements to our remote culture.
How you’ll have an impact:

Owning the decisioning performance for a group of enterprise merchants with household names, executive attention, and a significant bottom line impact to Signifyd.
Collaborating with internal stakeholders across Customer Success, Risk Intelligence, Sales and beyond.
Leading a team of Data Scientists and helping them set goals, collaborate, and provide vision and guidance on key areas to scale
Providing mentorship to team members through feedback, coaching, and hands-on technical guidance, focusing on their long-term growth
Partnering with senior leaders including Product & Engineering to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact
Thinking strategically to optimize the key components of the Signifyd Commerce Protection Platform
Collaborating with engineering teams to continuously strengthen our machine learning pipeline
Researching real-time emerging fraud patterns with our Risk Intelligence team
Building production machine learning models that identify fraud
Writing production and offline analytical code in Python
Working with distributed data pipelines

Past experience you’ll need:

A degree in an analytical field
2+ years of experience in people management with experience building teams, growing talent and working across departments.
At least 4 years of post-undergrad work experience required
Strong stakeholder management skills
Experience leading projects that depend on the contributions of others in multiple teams
Using visualizations to communicate analytical results to stakeholders outside your team
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Designing experiments and collecting data
Familiarity with the Linux command line

Experience we love to see:

Experience managing remote teams
Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code

#LI-Remote
Benefits in our US offices:

4-day workweek
Discretionary Time Off Policy (Unlimited!)
Mental wellbeing resources
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag