Principal Data Scientist Pricing Rev Optimization

We are seeking a Principal Data Scientist to join our R&D organization and lead our work on Pricing and Revenue Optimization. This senior individual contributor role reports to the VP of Data Science and is critical for our company's success. The ideal candidate will have extensive expertise in data science, machine learning, systems design, and architecture, with a passion for the travel industry. This key leadership position offers the opportunity to influence product and business direction, requiring a highly motivated, self-starting individual with a strong track record in data science and a focus on rigorous work and action.
If you are passionate about travel, about working on both strategic project and hands-on implementation, and relate to our vision and DNA, please apply.
Here’s what you’ll do:

Collaborate with Product, Engineering, and Finance leaders to refine our pricing and revenue optimization strategy, derive requirements, and architect relevant services

Lead the end-to-end process, including conception, development, production, deployment, and monitoring of data and machine learning models for pricing and revenue optimization

Drive innovation by researching and implementing cutting-edge machine learning techniques, algorithms, and tools to improve and optimize existing models and systems

Partner with the platform services engineering team to iterate on our pricing and revenue optimization services, ensuring seamless integration with existing infrastructure and systems
Design, execute, and evaluate pricing experiments, using statistical analysis and hypothesis testing to draw conclusions and inform decision-making
Monitor success using KPIs and customer behavior data to inform iterations and drive performance, while proactively identifying opportunities for improvement
Provide technical leadership to data scientists and analysts working on pricing and personalization, mentoring and guiding them in their career development

Collaborate with data and platform engineers to scale our data infrastructure in line with the needs of these services (data acquisition, ETL pipelines, reporting infrastructure, feature stores, etc.)

Work with the VP, Data Science to build and coach a world-class team of data scientists, data engineers, and machine learning engineers, fostering a culture of continuous learning and growth
Communicate effectively with stakeholders at various levels of the organization, presenting complex data insights and recommendations in a clear and actionable manner
Stay current with industry trends, emerging technologies, and best practices in data science and machine learning, ensuring that our team remains at the forefront of innovation

Here’s what we’re looking for:

8+ years of industry experience as a data scientist or ML engineer in high-growth environments, with a track record of successfully leading complex projects and delivering impactful results
Master's degree or PhD in Computer Science, Engineering, Economics, Statistics, or another quantitative discipline
Proven experience applying machine learning, including deep learning techniques, to real-world data problems (such as pricing, recommendation, personalization, image recognition, and natural language processing) and deploying and scaling models in a production environment
Solid fundamentals in algorithms, statistics, predictive modeling, and optimization, with a deep understanding of various machine learning techniques and their appropriate application

Proficiency in Python and experience with ML libraries or platforms

Demonstrable experience in system/software architecture and development, with a focus on scalable, efficient, and reliable systems
Familiarity with cloud computing platforms (e.g., AWS, GCP, or Azure) and experience with big data technologies such as Hadoop, Spark, or NoSQL databases
Ability to solve complex analytical problems using quantitative approaches, blending analytical, mathematical, and technical skills
Excellent communication skills, with the ability to articulate goals, architecture, methodologies, and insights to a diverse group of stakeholders, both in technical and non-technical terms

Highly detail-oriented, with exceptional organizational and follow-through skills, and the ability to manage multiple competing priorities simultaneously

A proactive mindset and the ability to work independently, taking ownership of projects and driving them to completion

Cash Compensation:

In addition to a compelling equity package, a reasonable expectation for total cash compensation for this role is between $175,000 - $200,000/year (made up of base plus bonus). Final offer amounts are determined by multiple factors, including prior experience, expertise, and may vary from the amount above.


Senior Data Scientist

Senior Data Scientist (REMOTE/HYBRID) – Computer Vision
GEICO's claims data science team uses a variety of machine learning methods and data sources to create innovative products and systems to enhance the operational efficiency and customer experience of our claims handling processes. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data cleaning, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT and business stakeholders to ensure that our systems can be deployed quickly and monitored continuously.
We are looking for a senior data scientist to spearhead initiatives integrating computer vision and image analytics into Geico’s claims handling processes. You will serve as a technical and thought leader on a diverse and highly skilled team. You will research, develop, and deploy machine learning systems to streamline claim handling experiences and underwriting decisions to create a competitive advantage for GEICO. You will analyze large datasets with hundreds of millions of images and solve complex business problems using state-of-the-art AI/ML models. You will work in a highly collaborative team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will help management communicate insights and implement impactful data science solutions across the organization.
Expected Qualifications
Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc.4+ years of experience in designing, developing, evaluating, and deploying machine learning systems, with at least 2 years of experience in computer vision related projectsDeep understanding and experience with advanced statistics and machine learning techniques, including GLMs, tree ensembles, deep learning, causal inference, survival analysis, etc.Superior coding skills using common data science languages, including Python (strongly preferred), R, Linux/Unix command line and shell scriptingExcellent skill and extensive experience in big data processing tools such as Apache Spark, Snowflake or equivalent querying language and systemsStrong experience with common cloud computing platforms such as AWS, Azure or GCPExcellent communication skills and experience in working with stakeholdersPassion for extracting hidden insights and building ML systems that enhance business outcomes
Preferred Qualifications:
Deep understanding and experience with state-of-the-art models in image classification, object detection, image segmentation and multi-modal learningExperience with Deep Learning frameworks like TensorFlow or PyTorchExperience with GPU-based model training and inference infrastructure and architectureExperience with (cloud/mobile/frontend) deployment and integration of deep learning modelsExperience with the insurance industry is a plus
Location Requirements:
This position can be fully remote. Remote associates are expected to travel twice a year to our corporate HQ in Chevy Chase, MD where the hiring team is locatedAssociates based in the DC metro area are expected to follow a hybrid work schedule
The safety of our associates is GEICO’s highest priority. If you are required to come into the office for licensing, training, or orientation, please note that we have implemented a variety of safety precautions within our offices. Additional safety precautions include no-contact temperature screening stations, added signage for associates on common-area occupancy limits, socially distanced workstations, and increased cleaning procedures for all areas.Benefits:As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:· Premier Medical, Dental and Vision Insurance with no waiting period**· Paid Vacation, Sick and Parental Leave· 401(k) Plan· Tuition Reimbursement· Paid Training and Licensures*Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.**Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.#LI-MA1
Annual Salary
$100,000.00 - $204,500.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.


Senior Data Scientist

Who we are and what we do
Deel is a global team that helps businesses hire anyone, anywhere, easily. Deel consists of more than two thousand self-driven individuals spanning over 100 countries. Our unified yet diverse culture keeps us continually learning and innovating the Deel platform and our products for customers.
Companies should be able to hire the best talent anywhere in the world, so we are building the best platform to make that a reality. Our market-leading technology, expertise, and global team are crucial to the success of Deel’s platform. We deliver the best products and platform features in our space, enabling millions of jobs worldwide and connecting the global workforce with the best companies and opportunities.
Why should you be part of Deel's success story?
A 30-mile hiring radius should no longer dictate how companies hire because great talent lives everywhere. Deel sees a world without hiring borders and endless talent that pairs perfect candidates with great companies.
We offer global teams all the tools they need to hire, onboard, manage, pay, and scale at full speed. We aim to foster a diverse global economy by building a generational platform that seamlessly connects companies with talent worldwide.
After our successful Series D in 2021, we raised another $50M last year, doubling our valuation to $12B.
There’s never been a more exciting time to join Deel — the market leader in international payroll and compliance.
Duties
Solve real world problems using applied algorithmic research and Data Science practicesImplement functionality which can be served in production for internal and external customersDesign, build, and maintain datasetsPerform data cleaning, feature engineering, feature extraction, modeling, and experimentationConduct online and offline demonstrations of capabilitiesBuild end-to-end machine learning pipelinesCollaborate with Engineering, Operations, Product Management and other functions in the company to deliver algorithmic solutionsApply software engineering practices in code that implements research and infrastructureProduce high quality, clean, and maintainable reproducible research and code
Requirements
High proficiency in Python and its data science stack3+ years of background and experience in data/backend engineering, ideally in production environments (Mid/Senior Level role)2+ years of background and hands-on experience in implementing research and algorithms in Python, specifically in information retrieval, text processing, NLP, and machine learningGood written and verbal communication skills and ability to collaborate well with people from different backgrounds and professionsBachelor's degree or higher
We’d especially love to speak with you if:
You are a strong data/backend engineer and aspiring data scientist with some hands-on experience in the data-science fieldYou have experience in collaborating with other scientists and engineersYou have significant experience in NLPYou have experience automating processesYou are comfortable with building things from scratchYou are comfortable with uncertainty and explorationYou have a track record of delivering value.
Total Rewards
Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.
At Deel, you’ll enjoy:
Computer equipment applicable to your roleStock grant opportunitiesAdditional perks and benefits based upon your employment status and countryThe ability to choose where you work whether it be your home, the beach, or a WeWork
At Deel, we're an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics.


Sr Growth Marketing Data Scientist

Philo: TV on the Internet (TVoIP)
At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences.
Data Science at Philo
Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows; and making it easier for our users to find the perfect thing to watch. On the Data Science team, we’re looking for someone who is comfortable working on a variety of interesting growth and marketing problems. You’ll be working closely with other data scientists, analysts, marketing managers, and engineers to build and deploy solutions directly for our service.
We are passionate about problem-solving and providing data-informed insights for the entire company using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, GrowthBook, Robyn, Superset, and PyTorch as well as SaaS tools such as Segment, SageMaker, AWS Glue, Mode, Avo, and BigEye.
Some of the recent projects our Data Science team members have worked on include:

Modeling to determine which early product behaviors predict conversion to a paid subscriber
Building in-house marketing attribution models to evaluate marketing channel performance (Marketing Mix Models and Multi-touch Attribution)
Performing matched market lift tests in collaboration with marketing managers
Price sensitivity research and competitive market analyses

Qualifications
Philo is seeking a Senior Growth Marketing Data Scientist with demonstrated understanding of statistical modeling (in R and/or Python), SQL, and experience independently developing data driven insights. This data scientist will have the opportunity to leverage massive structured, unstructured, transactional, and real-time data sets from a variety of sources, analyze financial and customer usage patterns, and make actionable recommendations to product, marketing, engineering, and business development teams.
In this role the Senior Growth Marketing Data Scientist will support the entire product development lifecycle from product ideation and opportunity sizing to building and delivering software tools for our marketing team, including measurement and experiment design, and from causal analysis and post-launch learning into the next development cycle. Senior Data Scientists at Philo contribute to mentorship and leadership on the Data team whether they are people managers or individual contributors. Individuals with prior experience with people management or an interest in people management will have the opportunity to add that responsibility to their role at Philo.
Responsibilities:

Build a deep understanding of how subscribers are acquired on each of our streaming platforms, including where they run into problems as well as proposing new approaches
Develop a unified approach to measuring marketing performance by combining multiple methods of marketing measurement including Marketing Mix Modeling (MMM), Geo-based experimentation, and Multi-touch Attribution (MTA) to evaluate and  iteratively optimize the performance of our marketing efforts
Collaborate with groups company-wide (e.g. business development, advertising operations, marketing, and support) on KPIs, including lifetime value measurement and optimizing customer acquisition costs
Establish curated dashboards and reporting that will serve as the primary source by which we evaluate the performance of our growth efforts
Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders
Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions
Create and analyze surveys to understand consumer perceptions and to reinforce qualitative research findings
Build and deploy machine learning and statistical models such as Customer Lifetime Value, Segmentation, time-series forecasting end to end through scoping, researching, prototyping, and productionizing with tools such as Git, Sagemaker, dbt, Robyn

Key Qualifications:

10+ years of experience in a Data Science role
Demonstrated ability to influence product roadmaps and business decisions with data
Proven expertise in building and improving marketing attribution models, including techniques such as Bayesian methods for hierarchical modeling, ridge regression, and methods for handling missing data
Proven expertise in experimental design (including but not limited to A/B testing), principles of causal inference, and statistical techniques
Experience with relational databases and SQL
Strong written and verbal communication skills, with the ability to explain and present analytical methodology and results to non-technical audiences
Expert with statistical analysis in either R or Python
Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience
Experience in writing production-quality code in R or Python and delivering software tools in an iterative fashion using software engineering best practices around version control, review, and automated testing

More about Philo
We strive to build engaging and easy to use streaming apps across a large number of platforms (Android Mobile, Android tablets, Android TV, Amazon FireTV, Roku, iOS, Apple TV, Samsung, and web), while delivering a large variety of content to our users.
Today there are over 60 channels included in our basic package -- our lineup includes many popular cable networks, like A&E, Accuweather, Animal Planet, AXS TV, BBC America, BET, Cheddar, ComedyCentral, CMT, Discovery Channel, Food Network, Game Show Network, Hallmark, HGTV, IFC, INSP,Lifetime, MTV, Newsy, Nickelodeon, OWN, Paramount Network, Sundance, TV One, Vice and VH1. We also offer premium add-on channels from Starz and Epix, and we’re always adding more content!
We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV -- we believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers.
Philo is headquartered in San Francisco, with additional offices in New York and Cambridge, MA. Our leadership team includes a cofounder of Facebook as well as alums of Meraki and HBO. Philo is backed by NEA and industry partners including Discovery, Viacom, AMC, and A&E.
Status: Full-timeLocation: San Francisco, CA or remoteCompensation: Includes annual salary between $160K-$210K depending on experience and location, company stock options, and health benefits
We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:

Full health, dental and vision coverage for you and your family
Flexible working hours
Generous paid parental leave
Unlimited paid time off for vacation and sick leave
$2000 annual vacation bonus (we pay you to take a two week vacation)
$5250 annually for professional development and educational assistance
$1250 annual home office + TV stipend
$500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices
Dog-friendly office
And much more!

For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors


Senior Data Scientist Experience With Media Mix Modeling

What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
Job Description
Are you interested in using data science to solve new and challenging problems in innovative ways — like helping a media conglomerate measure the impact of their marketing and advertising campaigns to optimize investments across a wide range of media channels? Civis Analytics is looking for a Sr. Applied Data Scientist to join our commercial Applied Data Science (ADS) practice and help us solve some of the most challenging and interesting questions facing Media businesses today.
The Applied Data Science team is the advisory arm of Civis Analytics, working closely with organizations to help solve their toughest challenges with data science. Our Media sector practice provides data science solutions for media conglomerates, nonprofits, and advocacy groups seeking to leverage media-mix-modeling to reach their target audiences in the most effective way.
Responsibilities

A Senior ADS runs the end-to-end execution of client engagements utilizing data science, which includes:

Handling client relationships and communication on day-to-day projects and initiatives, with stakeholders of varying technical experience or familiarity with methods
Leading and structuring project research design, including statistical analysis, modeling techniques, and data management methods, and working with cross-functional teams of data scientists and software engineers where necessary to create and implement solutions
Managing the unification of large 1st- and 3rd-party datasets, and building predictive models
Translating findings into clear, actionable, and timely insights with the appropriate business context

As part of the Media sector practice:

Work closely with Applied Data Science teams to develop performance measurement reporting and media mix modeling to demonstrate the impact of cross channel activities through media

Influence and collaborate on channel-level media strategies based on marketing, audience, and consumer insights.

Collaborates with stakeholders and leadership to ensure that the most effective channel mix is implemented to achieve our customer’s strategic business priorities

Other job responsibilities include:

Creatively identifying opportunities in the solution delivery process for scalable applications, and collaborating with other teams to further construct these tools
Assisting with new business development by scoping projects, writing proposals, and building case studies and other collateral
Maintaining a continuous and independent education of cutting-edge statistical techniques and programming languages
Teaching and mentoring more junior Applied Data Scientists

Qualifications

Must have experience with Media or Marketing Mix Modeling
Bachelor’s degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.)
6+ years of work or post-graduate experience in a field of analytical science
Proven success in using data insights and analytics to inform audiences, markets, and targeting to optimize campaign performance and drive acquisition
Experience in designing and analyzing in-market survey research
Understanding of online and offline media planning to define and rationalize the best channel mix to maximize the reach and impact against different audiences
Shown affinity for and experience working with large or messy data sets
Proficiency with statistical programming languages (R, Python, etc.) and proven ability to work pragmatically with statistical concepts
Proficiency with presentation or data visualization software, such as Microsoft PPT, Tableau, Shiny, etc.
Excellent interpersonal and communication skills
US work authorization

Preferred Qualifications

Experience framing and communicating analytical results to stakeholders at a variety of levels
SQL experience
Experience working in a consulting or advisory function
Experience mentoring more junior members of a team
Practical understanding of and experience with predictive analytics, machine learning, and/or causal inference
Familiarity with software development tools and practices (Git, code review, etc.) Competencies
Experience in designing and analyzing in-market survey research

All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review.
Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?

The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.

To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities.

Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us internalrecruiting@civisanalytics.com.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency


Principal Machine Learning Data Scientist

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Are you a Data Science practitioner with a deep toolset who values helping partners scope business problems and provide analytic solutions? Do you relish the opportunity to dive headfirst into projects and contribute to an analytics ecosystem and lead optimization across the business? If so, this role is for you!
As a Principal Data Scientist on our Customer Support Services team, you will partner with important business domains, focusing on some of the most exciting challenges Atlassian faces.
Some examples of what you'll be doing:
Work with a team to improve efficiency in a scaling customer support environment, bringing analytic capabilities and insights to bearBuild operationally improving machine learning solutions including automation, predictive models, segmentation, anomaly detection, and optimization toolsWork with large amount of text and customer engagement data to help build scalable analytic solutionsWork with Software Engineering teams to build ML micro-services to integrate analytic solutions into business processesForecast important outcomes to the business using different predictive capabilities and help guide better decision makingPromote ML adoption and usage in an operational businessMeasure the growth of ML and AI applications on results.Develop partnerships with business and operations leaders
Some skills and tools you'll use are:
DS: NLP, Classification, Anomaly Detection, EconometricsMLE: API Integration ,Feature Engineering, Model Lifecycle ManagementAnalytics: Statistics, data distributions, summary/aggregation methods, operational metric development, ongoing OKR measurementTools: Python, SQL, Tableau, ExcelCollaboration: Confluence, Jira
More about you:
You've been working in Machine Learning/ Data Science for 8+ years and have a BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative fields.Technical skills including best practices for operational Machine Learning Development and ServingExperience delivering value through data science, measuring impact, and right sizing solutions.Familiarity with Data Engineering and Software Engineering best practicesYou have experience building business improving Machine Learning Models and experience using data to guide efficiency in a business operationsYou have experience driving analytic projects, engaging with non-technical partners, and leading projectsTo keep pace with our growth you enjoy learning new things quickly. You can take an ambiguous assignment and deliver iterative value. You use multiple tools and methods to find trends and correlations by mining data, and light-weight tests to prioritize how to propel complicated problems.You are someone who likes to mentor less experienced analysts.You love driving strategy, making big changes, and influencing others. You have a history of driving measurable impact in close collaboration with operational colleagues.You combine curiosity with critical thinking and like asking "why" to unravel a seemingly complex problem and get to the cause.You're a senior 'pillar of the team' with business acuity, analytics expertise and the ability to up-skill those around you.When you encounter a problem you come up with multiple solutions, weigh the tradeoffs and efforts, identify the best path forward.
More About our team:
We are a growing analytics and project delivery team located in multiple regions across the globe. We challenge each other always to improve our work and ask hard questions. We're direct and demand excellence, but there's laughter in every meeting because we thoroughly enjoy the work we do and the impact it has. We're constantly learning new things.


Principal Data Scientist

Our story
At Alight, we believe a company’s success starts with its people. At our core, we Champion People, help our colleagues Grow with Purpose and true to our name we encourage colleagues to “Be Alight.”
It’s why we’re so driven to connect passion with purpose. Our team’s expertise in human insights and cloud technology, gives companies and employees around the world the ability to power confident decisions, for life.
With a comprehensive total rewards package, continuing education and training, and tremendous potential with a growing global organization, Alight is the perfect place to put your passion to work.
Join our team if you Champion People, want to Grow with Purpose through acting with integrity and if you embody the meaning of Be Alight.
Learn more at careers.alight.com
The Role
The Artificial Intelligence & Machine Learning (AIML) foundation team of Alight is looking for a qualified data scientist with Natural Language Processing (NLP) experience.  We are looking for someone to analyze large amounts of raw text data to find patterns that will help improve our company and the solutions we provide to our clients.  We will rely on you to build data products to extract valuable business insights.  In this role, it is essential you are highly analytical, a critical thinker and a problem solver with a passion for machine learning. We’re a small team so you’ll need to be comfortable taking your ideas from theory into deployment.  You will need to understand the business opportunities, then understand, collect and prepare data for modeling, and finally build, evaluate and operationalize the models.
Key Characteristics
Strong understanding of general AI/ML/DL concepts including but not limited to supervised, unsupervised and reinforcement learningProven experience building, deploying and monitoring production models using NLP TechniquesSelf-driven and comfortable working without detailed direction - sometimes you’ll have to build the path yourselfAble to identify and solve problems on your ownStrong presentation and communication skillsIntellectually curious with an ability to focus on what matters to the businessDetail oriented
Education, Knowledge, Experience
3+ years building robust machine learning models in a production environment, understanding how to write production-ready code.Analytical mind-set – problem solving through analytical techniques that meet the rigorous standards of the data science industry.3+ years’ experience in Python/R and Machine Learning (decision trees, multivariate and logistic regression, kNN, kMeans, NLP, Neural Networks etc.).3+ year’s of experience with NLP and deep learning5+ years’ experience in data analysis, applied statistics or econometrics in a business environment with large-scale, complex data-sets.GPT-3 or open AI experience is a plus.Strong communicator – articulating the commercial value of data and analytics to senior stakeholders/clients (internal & external) through data visualization and storytelling.Inquisitive – ability to dig into new and challenging datasets, uncovering pertinent and business relevant information.Experience in AWS Sagemaker StudioExperience with Spark and Spark-MLExpertise with Python, SQL, R and other leading programming and statistical applicationsExperience working with and manipulating large data sets, including Big Data tools and platforms (e.g. Hadoop)MS/PhD in a quantitative discipline
#LI-remote
We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
New York Equal Pay for Equal Work Act Statement.Pay Transparency Statement in compliance with the Colorado Equal Pay for Equal Work Act, the New York City pay transparency ordinance, and any other similar laws or ordinances:Alight takes into consideration a candidate’s experience, education, certification/credentials, market data, and internal equity when determining an offer for a successful employment candidate, and Alight does so on an individualized, non-discriminatory basis.  Therefore, an offer may fall anywhere in between the estimated minimum base salary for this role of $113,800.00/year (for full time employees) and the estimated maximum base salary for this role of $253,700.00/year (for full time employees). In addition to a base salary, this position may be bonus eligible. Alight also offers a comprehensive benefits package; for specific details on our benefits package, please visit: https://bit.ly/Alight-Benefits-US22
DISCLAIMER:
Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.
Alight Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, pregnancy, childbirth or related medical condition, veteran, marital, parental, citizenship, or domestic partner status, or any other status protected by applicable national, federal, state or local law.  Alight Solutions is committed to a diverse workforce and is an affirmative action employer.


Senior Data Scientist

Our story
At Alight, we believe a company’s success starts with its people. At our core, we Champion People, help our colleagues Grow with Purpose and true to our name we encourage colleagues to “Be Alight.”
It’s why we’re so driven to connect passion with purpose. Our team’s expertise in human insights and cloud technology, gives companies and employees around the world the ability to power confident decisions, for life.
With a comprehensive total rewards package, continuing education and training, and tremendous potential with a growing global organization, Alight is the perfect place to put your passion to work.
Join our team if you Champion People, want to Grow with Purpose through acting with integrity and if you embody the meaning of Be Alight.
Learn more at careers.alight.com
Job SummaryAs a Senior Data Scientist, you will be a senior member of the Data Science team, reporting to the data science leader in Alight Retiree Health Solutions. You will develop and deploy advanced analytical/machine learning/AI solutions under the guidance of managing team members to directly address business needs. Using Python, R, and/or other languages, you will design and implement predictive/machine learning models in a cloud-based environment for data sets that may be complex, large-scale, and/or longitudinal. You will interact directly with business owners and design solutions and models while mentoring more junior members.
Primary Job Responsibilities:•    Partner with business owners and clients to identify ML objectives and criteria to solve business objectives to increase revenue, reduce costs, and improve consumer value•    Lead the design, development, and deployment of advanced ML models•    Collaborate with data engineering team on data pipelines•    Acquire and prepare data ingestion, splitting, exploration, feature selection, and feature engineering to solve business objectives•    Develop advanced ML models and perform necessary model training, validating, and testing to perform model evaluation with business recommendations•    Partner with ML Ops to productionize ML models and set monitoring and maintenance plan•    Translate and simplify results for presentation to business stakeholders, partners, and clients•    Work in collaboration with data consultants, data scientists, functional leaders, and external parties•    Design visualization tools and reporting automation to communicate end-results to targeted users.
You Bring Knowledge and Expertise – Required Experience:•    Degree in Statistics, Mathematics, Econometrics, Actuarial Science, Computer Science or other related fields (MS is preferred).•    4+ years of experience with key modeling and analytic techniques (e.g., decision trees, multivariable logistic regression, kNN, kMeans, NLP, Neural Networks), as well as the ability to implement and deploy using one of the common open-source systems (R, Python, Scala, etc.).•    Experience in data cleaning, exploratory analysis, feature engineering•    Experience with deploying advanced models (e.g., Deep Learning, NLP, multivariable time series regression, Markov chains, Bayesian models)•    Proficient in R, Python, SQL•    Experience with data visualization tool such as ggplot, Tableau is a plus•    Good communication skills, both oral and in writing•    Good organization and time management skills; ability to work independently
By applying for a position with Alight, you understand that, should you be made an offer, it will be contingent on your undergoing and successfully completing a background check consistent with Alight’s employment policies. Background checks may include some or all the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, and criminal check, search against global sanctions and government watch lists, credit check, and/or drug test.  You will be notified during the hiring process which checks are required by the position.
Our commitment to Diversity and Inclusion
Alight believes diversity should be visible, valued, and sustained throughout the organization. And we’re committed to enabling an inclusive culture of belonging that engages all colleagues and grows the diversity of our talent to proudly represent the clients and communities we serve.
As an affirmative action employer, we adhere to the principles of equal employment opportunity in the workplace as defined in our diversity policy statement.
Diversity Policy Statement
Alight does not discriminate against anyone based on sex, gender, race, color, religion, creed, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, marital or domestic partner status, citizenship, military or veteran status, sexual orientation, gender, gender identity or expression, genetic information, or any other legally protected characteristics or conduct covered by federal, state or local law.  In addition, we take affirmative action to employ and advance in employment qualified minorities, women, disabled persons, disabled veterans and other covered veterans.
Alight provides reasonable accommodations to the known limitations of otherwise qualified employees and applicants for employment with disabilities and sincerely held religious beliefs, practices and observances, unless doing so would result in undue hardship. Applicants for employment may request a reasonable accommodation/modification by contacting his/her recruiter.
Authorization to work in the Employing Country
Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the Employing Country and with Alight.
Note, this job description does not restrict management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.
#LI-Remote   p&tjobs
We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
Pay Transparency Statement:  Alight takes into consideration a candidate’s experience, education, certification/credentials, market data, internal equity, and geography when determining an offer for a successful employment candidate, and Alight does so on an individualized, non-discriminatory basis.  Therefore, an offer may fall anywhere between the estimated minimum base salary for this role of $82,000.00/year (for full time employees) and the estimated maximum base salary for this role of $202,900.00/year (for full time employees). In addition to a base salary, this position may be eligible for a bonus and/or other incentive plans. Alight also offers a comprehensive benefits package; for specific details on our benefits package, please visit:  https://careers.alight.com/us/en/alight-us-benefits-2023
DISCLAIMER:
Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.
Alight Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, pregnancy, childbirth or related medical condition, veteran, marital, parental, citizenship, or domestic partner status, or any other status protected by applicable national, federal, state or local law.  Alight Solutions is committed to a diverse workforce and is an affirmative action employer.


Data Scientist I Product Analytics

Hi, we're Oscar. We're hiring a Data Scientist I to join our Product Analytics team.
Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role:
+Oscar is Oscar’s software platform and Campaign Builder is a tool that providers, payers, and partners use to engage with their members and customers. The Data Scientist I, Product Analytics will play a critical role in developing the data pipeline management and reporting infrastructure for +Oscar Campaign Builder clients. Additionally, they’ll partner with the Customer Success function to conduct outcomes analytics and reporting based on client needs and interest.
Campaign Builder is an engagement and automation platform that enables scalable, personalized interventions and automates workflows to drive growth, manage risk, and optimize admin operations. Built for non-technical users, risk bearing entities can use the tool to build “campaigns” that deliver interventions with multiple touch points over time to drive behavior change. The solution has been a key differentiator for +Oscar clients and we’re excited about bringing the technology to more users nationwide.
You will report into a Senior Data Scientist. This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote
The potential base pay for this role is: $115,360-$151,410 per year. You are also eligible for employee benefits, company equity grants and annual performance bonuses.
Applicants must be currently authorized to work in the United States on a full-time basis. Oscar will not sponsor applicants for this role.
Responsibilities:
Help establish and maintain strategic +Oscar Modular Solutions roadmap for the Data team
Work with key stakeholders to strategize, implement, and manage the productization of data science models related to Campaign Builder
Assist with the evaluation of the financial impact of campaigns with both external and internal audiences
Requirements gathering for data pipeline management and reporting infrastructure build out and enhancement; includes obtaining regular stakeholder and end-user input
Help establish success metrics for projects and work with business to track and communicate metrics through dashboards and metrics
Requirements:
A bachelor's degree and 2+ years of relevant work experience OR a master’s degree in a quantitative field and 1+ years of relevant work experience
Experience working with and building data models using common tools like Python or SQL
Experience with product analytics
Experience managing projects and partners across the organization with the ability to visualize a process, identify and resolve bottlenecks
Bonus Points:

Knowledge of or previous work experience in health care, health economics, or health insurance

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives..
Pay Transparency:
Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience.
Full-time employees are eligible for benefits including: medical, dental, and vision benefits, paid holidays, paid vacation and sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.


Director Of Data Science Portfolio Management

You’ll be a successful Director of Data Science on our Data Science Team if:

You have experience applying data science to credit risk management and are excited to optimize a multi-billion dollar portfolio that’s growing every day
You want to help improve the financial health of the 100 million working-class Americans who live paycheck-to-paycheck
You make your team better on a daily basis because you can be clear about goals, the team’s shared purpose, and need to execute through education, organization, and trust
You can grow members of your team because you can help them identify their strengths and weaknesses, put them in a position to succeed, and get them the training and opportunities they need.
You have a deep understanding of the field of data science and can develop and communicate a vision to your team on how the field can be applied to solve difficult practical problems
You’ve created, deployed, and managed experiments and models in production systems and can genuinely speak to practitioners about the fundamental principles and challenges required to be successful in that work
You are more motivated by practical solutions than theoretical elegance
You can communicate, collaborate, compromise, and be sensitive to the needs of your partners and teammates

We are offering:

A low-ego, respectful, data science team committed to solving practical problems together
The chance to work at a company where data science is at the heart of the business and integral to both our day-to-day operation and our executive team’s strategic vision
Flexible work hours and flexible work location (even after the pandemic)
A generous parental leave policy
Excellent opportunities for career growth, with both management and technical tracks for advancement
A team that values learning and approaches work with a “growth mindset”
A competitive salary, equity, and a full benefits package (health, dental, vision, 401k)

You might be particularly excited about the role if you want:

To work on fairness, accountability, and transparency in machine learning (FAccT ML) or explainable AI (XAI)
To find practical ways to apply modern innovations from diverse research areas like Causal Inference, Cost-Sensitive Machine Learning, and Time Series Classification

If you’re excited about the role and aren’t sure if you meet all the requirements - we want you to apply anyway! We believe people can contribute to our team in a wide variety of ways and want to meet people who find meaning in our mission and our technical work compelling.


Senior Data Scientist

We are seeking a Head of Data Science to lead our Data Science efforts in building a scalable intelligence layer for our company.
ROLE DESCRIPTION
In this role, we are seeking a highly skilled and experienced Senior Data Scientist with expertise in weather or climate modeling, geo-spatial data analysis, or risk management to join our team. The ideal candidate will be responsible for developing and implementing data-driven solutions that forecast impacts of environmental threats and help customers identify moments when action is needed to protect their assets.
Responsibilities include:

Understand existing models and data in the market;
Develop, implement, and evaluate advanced algorithms and statistical models for biorisk data analysis, including weather and climate data
Collaborate with cross-functional teams, including data engineers and software developers, to design, develop, and deploy data-driven solutions for biorisk management
Collaborate with Subject Matter Experts on the development, maintenance and improvement of models and algorithms.
Conduct research on new and emerging data science techniques and methodologies and recommend best practices to the team
Write, document and maintain testing code in Python, R, Pyspark, and SQL
Support engineering in the production of standardized, scalable models & pipelines.
Highly collaborative team work

In addition, this role will be responsible for other ad-hoc duties as assigned.
REQUIREMENTS

Bachelor’s degree and at least 8 years of Data science methods including predictive modeling, data cleaning and manipulation, and OR
Strong knowledge of statistical analysis, data visualization, and machine learning algorithms
Experience with GIS and geospatial data analysis
Excellent written and oral communication skills, including the ability to present complex technical findings to non-technical stakeholders.
Strong programming skills in Python or R and experience writing production-quality, maintainable code.
Familiarity with cloud-based data platforms such as AWS, Azure, or Google Cloud Platform.

WHO WE ARE
PHC is a startup company, with the attendant excitement, energy, and opportunity for growth that a startup environment entails. The team supports remote-first employment and candidates from anywhere in the US are welcome to apply.
COMPENSATION AND BENEFITS
Total compensation includes salary and stock option grants. The salary range for this position is between $150k to 215k, and individual pay is determined by job-related skills, experience, and relevant education or training. PHC offers a comprehensive benefits package including medical, dental and vision insurance, wellbeing offerings, 401K, unlimited PTO, paid holidays, and a work from home stipend. PHC covers 100% of medical premiums for employees and 50% of medical premiums for dependents.
The Public Health Company is proud to be an Equal Opportunity Employer.


Head Of Data

About the team & opportunity
What’s so great about working on Calendly’s Engineering team?
We make things possible for our customers through impactful innovation.
As Head of Data, you will guide the design and implementation of a multi-disciplinary data team comprising data architecture, data engineering, machine learning and data science to form the foundation of business and product intelligence for Calendly. This role leads the teams in the creation, support, and evolution of the cloud technology underpinning a hyper-growth SaaS solution. In partnership with development, product, and business partners, you own the data structures, models, and ecosystem of services that inform business strategy, improve our understanding of our customers, and enable an intelligent product experience. Your team strives for excellence in flexibility, scalability and security of Calendly’s greatest untapped asset!
A day in the life of Head of Data at Calendly
Aligned with a fast growing and data-driven organization, you will educate the company with tailored data marts and models that provide a deeper understanding of the key business metrics, trends, and underlying factors. This critical role aligns with leaders across Product, Sales, CX, HR, and Marketing to support and implement high-quality, data-driven solutions and surface valuable, innovative insights to end users while ensuring data accuracy and consistency. In a highly collaborative environment where collegial sparring is key to the best ideas, you are encouraged to use your creativity and passion to accomplish the company’s goals.
On a typical day, you will be working on:

Recruit, train, develop and own our data platform and machine learning mission to enhance business knowledge and define opportunities for end user insights
Partner with Finance, Sales, Marketing, Product and CX departments to prioritize use cases, design data marts, and surface services that drive growth opportunities
Define, architect, evangelize and govern enterprise data flows, data model and data standards that are critical to understanding and measuring key Calendly business drivers
Enable business model evolution by defining, designing and governing the data and systems that provide user-based telemetry and online experimentation like AB testing
Design, build, and evolve machine learning and artificial intelligence capabilities that will benefit internal customers and Calendly's end users
Anticipate future needs in people and technology to ensure the data ecosystem solves the needs of the present while growing to enable additional value creation in the future

What do we need from you?

12+ years of experience across data science, machine learning, and data architecture design and implementation in cloud-based systems
5+ years of experience as a people-manager for data and/or engineering teams
Keen understanding and experience aligning cross-functional Executives and teams, both in writing and orally, to deliver strategic plans and business value
Agile, engineering competence with the people leadership skills to mentor team members in appropriate methodologies, communication style, and technical solutions needed
Bachelor’s degree in computer science or related engineering field, PhD preferred, along with academic or hands-on experience in machine learning and AI
Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time

What’s in it for you?
Millions of people already rely on Calendly’s products, and we’re still in the midst of our growth curve — it’s a phenomenal time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider joining Calendly and growing your professional career.
Our Hiring Process:
Typically, individuals will participate in the following interview process. However, there may be slight nuances given the role and or department we are hiring for. Please keep in mind that individuals can be declined from the position at any stage of the process.

Qualified individuals will be invited to schedule a phone interview with a member of our recruiting team. This is a great time to ask any initial questions you have about the company or the role.
Next, we’ll put you in direct contact with your manager. You’ll get a chance to learn even more about life at Calendly, the responsibilities within your role, and the qualities needed to succeed here.
Then, you will perform an interview exercise, where you can highlight your skills.
Next, or in parallel, you’ll meet with your potential team members.
Finally, we connect with those you’ve worked with before, to learn more about the impact you can make, the value you bring, and the best way to set you up for success at Calendly.

We aim to provide an inclusive and equitable experience to everyone who expresses interest in working at Calendly. The recruiter assigned to this role will keep you informed every step of the way. Have questions? Let your recruiter know! Want to share your experience? We are passionately committed to improving and building on our process, and we consider feedback a gift.
If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at recruiting@calendly.com.
Calendly is registered as an employer in many, but not all, states. If you are located in Hawaii or Alaska, you will not be eligible for employment.
Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection


Lead Data Scientist Deep Learning

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 preferably, with a Ph.D. who holds solid knowledge of reinforcement learning, deep learning, quick learner, and has 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 Reinforcement Learning, Deep Learning, knowledge in AI,      and DL modeling coding capability as this person needs to make designs      happen.   Strong statistics foundation and knowledge of      statistical packages. Proficiency with Python and SQL and ability to 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. Experience with supply chain/retail      forecasting 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.


Data Scientist Analytics Senior And Junior

Blue Rose Research develops a wide range of cutting-edge products used by the most important progressive organizations in the country. Our research informs short-term and long-term strategy for advancing progressive causes and has a trusted track record among key decision makers.
The team has a storied history, and has worked with central players to develop strategy and direct hundreds of millions of dollars of resources. The work produced by Blue Rose Research is widely regarded as among the most technically sophisticated in the space. If you join us, you’ll be plugging into a diverse team of engineers, data scientists, and political analysts, who are closely connected to some of the most important decision makers in the progressive ecosystem.
We are looking for a data scientist with a focus in analytics to work at the intersection of modeling and analysis, supporting internal stakeholders in delivering guidance to key clients this election cycle. Collaborating with our interdisciplinary team, this role will utilize technical and analytical skills to turn our modeled outputs into insights, conduct analysis based on questions from political strategists, and help automate actionable takeaways on our data.
We’re a fast and dynamic team, and you’ll be contributing to innovative work that evolves week by week. We’re looking for you to bring your passion for data analytics, a strong attention to detail, and a desire to make a big impact — sometimes under tight timelines.
We offer a competitive salary, medical, dental, and health benefits, and a work environment that will support your differences. While the work is remote, we do have an office in NYC and a number of folks who work in-person regularly – both in NYC and at shared workspace meetups in DC. Most of our work happens on East Coast time.
This job posting is for both Senior and Junior-level roles.
You will:

Help build out a suite of analytics pipelines to take modeled outputs and produce automated reporting on public opinion and voter behavior at a rapid cadence.
Build clear data visualizations in R to communicate our modeled results to less technical audiences.
Analyze data using regressions and other statistical concepts to answer questions from political strategists and clients.
Deliver actionable guidance to important internal stakeholders, helping them understand nuances of the model output.
Build subject matter context and think critically about our data in order to discern real trends versus potential bugs to flag for our machine learning data scientists.
Use and provide product feedback on existing infrastructure to engineers and machine learning data scientists
Contribute new ideas to the ways we analyze, interpret, and communicate our data – we strive to deliver the best strategic guidance and believe that everyone on the team is part of that goal.

Qualified candidates ideally have:

Experience with SQL and relational databases. Can quickly orient themselves to a new dataset, perform exploratory analysis, spot data quality issues, and justify decisions about how to handle imperfect data.
A strong R programming background, or significant experience in python and a willingness to learn R.
Used Github or other version control tools
A desire to work in multi-disciplinary teams with engineers, machine learning data scientists, statisticians and political experts. Is excited about working with less-technical stakeholders and seeing how their work impacts real-world decision making.
Experience pulling insights from data, building a story around them, and creating effective visualizations to communicate those findings (in ggplot, matplotlib, or similar).
Has strong oral and written communication skills, especially in a remote environment
Is solutions-oriented, has strong attention to detail, and is a creative thinker who isn’t daunted by open-ended research questions.
Is a kind person and a team player who contributes to a warm working environment.

In addition to the above, candidates eligible for a Senior role ideally have:

3+ years of professional data science or data analytics experience, or two election cycles in data analytics or similar role
Experience with applied statistics and predictive modeling. Understanding of how modeling works and could describe the basics to a non-technical person.
Experience contributing to R or python packages and a knack for writing reusable and efficient code
Project management experience – including breaking down large tasks into smaller ones
Strong problem solving skills, with an ability to proactively identify challenges and propose solutions
A strong aptitude for identifying key takeaways from a dataset and producing client-ready deliverables that clearly communicate these findings

Extra points if you have:

Demonstrated experience leading a cross-functional team to complete a larger-scale project
Experience designing, building, and owning production-level analytics pipelines using real-world data
Experience working with the voterfile
Willingness to engage with the wider progressive political ecosystem and develop domain knowledge in addition to technical insight
Interest or experience in mentoring more junior team members

We don’t expect every applicant to have expertise in every area listed above. We encourage you to apply if you don’t feel your experience and background sound like a perfect fit. Many of our team members have taken an unusual path to get to where they are today, and our unique and diverse perspectives make us more effective. We also believe strongly in our team’s ability to learn and excel at new skills and challenges. Join us!
The salary range for this position is $90,000 - $150,000 annually, commensurate with experience.
Candidates must be authorized to work lawfully in the United States.


Lead Data Scientist

Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above.
About Life360
At Life360, we’re on a mission to simplify safety so families can live fully. Everyday more than 50 million members across 195 countries trust us to protect and connect their loved ones at home, on the road, and on the go.
From real-time location updates to keep everyone coordinated, to Crash Detection and 24/7 Roadside Assistance, Life360 is designed to free families from everyday worries. Our range of Driving Safety, Digital Safety, Location Safety, and Personal Safety features are there to keep our members safe every step of the way.
Life360 has more than 500 (and growing!) remote-first employees.
In 2021, Life360 acquired Tile, the pioneer in finding technology, and Jiobit, one of the top real-time location monitoring platforms for families. These expanded offerings mark an important step forward towards achieving our vision of being the world's leading platform for people, pets and things.
We value having a diverse and inclusive community from many backgrounds, so even if you don’t meet 100% of the below qualifications, you should still seriously consider applying!
About The Team
The mission of the data science team is to increase the value of our location-based safety solutions by optimizing and enhancing the user experience and creating new growth opportunities. As part of the product organization, we work closely with product managers, marketing, analytics, finance, engineering, and other cross-functional partners. This team is small and lean, always looking for and delivering the highest ROI.
About the Job
Life360 is seeking a Lead Data Scientist who is able to help our company grow by solving real-world problems in a fast-paced environment. Your expertise in data analysis, machine learning, and statistical modeling will drive key insights and recommendations, enhance the user experience, increase product efficiency, and continuously evolve our safety solutions. You will provide subject matter expertise and thought leadership, build relationships with key stakeholders, identify and understand opportunities (both internal and external), and develop new insights, product features, and scalable services using data from our mobile, cloud, and third-party platforms. You’ll be a critical part of the entire project lifecycle from concept, requirements, and design to rapid prototyping, production, and hypothesis testing.
The salary range for this position is $157,500 to $205,000. We take into consideration an individual's background and experience in determining final salary- therefore, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.
What You’ll Do

Data Analysis and Modeling: Utilize your expertise in data exploration, statistical analysis, optimization, anomaly detection, and machine learning to derive actionable insights from vast datasets, including user behavior patterns from historical location data.
Algorithm Development: Design, develop, and implement machine learning algorithms and predictive models to optimize and enhance our safety products, such as smart notifications, emergency response, and location tracking.
Product Improvement: Collaborate with cross-functional teams, including product managers, engineers, and designers, to integrate data-driven solutions into our products, driving continuous improvement in performance and user experience.
Hypothesis Testing: Conduct rigorous experimentation and A/B testing to evaluate the impact of new features, algorithms, and improvements, guiding data-driven decision-making processes.
Data Visualization and Communication: Present complex analyses and insights in a clear and compelling manner to both technical and non-technical stakeholders, ensuring data-driven decisions are effectively communicated and understood.
Data Integrity and Governance: Ensure data quality, accuracy, and consistency by identifying potential issues and working closely with data engineering teams to maintain high-quality data pipelines.
Research and Innovation: Stay up-to-date with the latest advancements in data science and machine learning, bringing innovative ideas and best practices to the team and the company.

What We’re Looking For

Bachelor’s in data science, computer science, statistics, or related field
Proven experience (5+ years) as a Data Scientist, working on complex projects and large datasets
Experience with geospatial data and mobile location-based services is highly desirable.
Strong problem-solving skills and the ability to tackle open-ended, challenging, data-related problems
Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment
Proven track record of successfully delivering data-driven insights and solutions that have a significant impact on product and business decisions
Python, including Pandas and Scikit-learn
SQL and Spark
Amazon Web Services (S3, Athena, Glue, Lambda, SageMaker, etc.)

Our Benefits

Competitive pay and benefits
Medical, dental, vision, life and disability insurance plans (100% paid for employees)
401(k) plan with company matching program
Mental Wellness Program & Employee Assistance Program (EAP) for mental well being
Flexible PTO, 13 company wide days off throughout the year & paid Holiday Shutdown
Learning & Development programs
Equipment, tools, and reimbursement support for a productive remote environment
Free Life360 Platinum Membership for your preferred circle
Free Tile Products

Life360 Values
Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference

Be a Good Person - We have a team of high integrity people you can trust.
Be Direct With Respect - We communicate directly, even when it’s hard.
Members Over Metrics - We focus on building an exceptional experience for families.
High Intensity High Impact - We do whatever it takes to get the job done.

Our Commitment to Diversity
We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.
We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

#LI-Remote
____________________________________________________________________________


Senior Data Scientist Business Analytics

About the Business Analytics Team
The Business Analytics team’s mission is to unlock strategic opportunities and enable Thumbtack to achieve its full business potential. To accomplish this mission, we focus on:

Business performance: Metrics, dashboards, and forums that help us measure progress towards our goals and foster deep understanding of our business.

Strategic insights: Analytics to uncover insights that will be game-changers for our business, and that inform company strategy and team execution.

Telling Thumbtack’s story: Using metrics and data visualization to tell Thumbtack’s story to investors, board members, our team, and the world.

Building a world-class team: hiring the best, and investing in coaching, learning, and team building.

We are a tight-knit group that is passionate about driving business impact through data science and analytics.
Responsibilities

Define, measure, and track the key metrics that measure Thumbtack’s success
Design and build key company data tables, dashboards, and insights tools that power decisions across the company, and evolve them as our product and business change
Conduct in-depth analyses to answer key questions that are critical to Thumbtack’s strategy
Support and improve company revenue forecasting model, and forecasting/planning process
Partner effectively with teams across the company, including Product, Engineering, Marketing, Operations, Finance, as well as Thumbtack’s leadership team
Contribute to our team and company data culture through peer collaboration, training, coaching, and more

What you'll need
If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

BA/BS degree, preferably in Economics, Business, Math, Statistics, or Computer Science
4+ years of experience in a highly analytical role, preferably with experience in tech analytics
Proficiency using SQL to analyze large data sets
Exemplary analytical problem solving skills, including solid statistics foundation, strong business judgment, and the ability to identify and synthesize insights from analysis
Ability to work with company executives to understand the company’s business needs and drive decisions
Strong communicator, attentive listener, and compelling explainer

Bonus points if you have

Experience working in a marketplace business
Experience with R or Python

Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Canada or the Philippines. Learn more about our virtual-first working model here. #LI-Remote
For candidates living in San Francisco / Bay Area, New York City, or Seattle metros, the expected salary range for the role is currently $139,500 - $170,500. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.
For candidates living in all other US locations, the expected salary range for this role is currently $118,575 - $144,925. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.


Data Analyst Scientist Us Remote

Company OverviewAt Motorola Solutions, we believe that everything starts with safety. It’s the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class.As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways.At Motorola Solutions, we’re ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.
Department Overview
Motorola Solutions is a world leader in the field of professional mobile communications systems with an impressive heritage of technological innovations and a global base of installed systems. The group's main business is the implementation of mission-critical digital mobile communication systems for Government & Public Safety Communications customers.As a part of the Data Analytics team within the North America - Project Management Office (NA-PMO), you will be partnering with Motorola Solutions’ field organizations, finance, and Information Technology (IT) teams to initiate and support data-informed decision making in the underlying business.
Job DescriptionNote: Preferred candidate will reside in Northern IL, but position is open to remote work in any US state with access to major airport for necessary travel. The preference for the candidate is to be located in EST or CST.Responsibilities:
Perform report and dashboard development to support various stakeholders such as finance, IT and sales teams
Dashboard creation / visualization using Tableau and Data extraction from Amazon Redshift using SQL
Perform predictive modeling and forecasting using R and Tableau
Design, extract and integrate data components from multiple sources such as Amazon Redshift, Kissflow
Drive and track adoption of dashboards and reports to measure success; iterate as needed
Detailed data validation to ensure directional accuracy
Server license management and data access enablement as well as data visualization support
Manage, update and document processes, websites, and training documentation.
Drive the development of and deliver training on data sources/tools to enhance the end users’ ability to analyze the business
Ensure the delivery of complex data required to support the needs of predictive Modeling and Analytics
Perform rigorous testing and post-validation publishing of reports
Required Skills:
Excellent data visualization skills
Experience creating dashboard reporting in Tableau is a must for this position
Experience using Tableau, SQL, R, and Power BI are required for this role
Additional Preferred skills
Programming skills in SQL, R and/or Python.
Thorough understanding of data modeling and ETL processes.
Expert user of Microsoft Excel, Google Sheets and Access. Experience with designing, configuring, automating custom reports in these programs.
Excellent oral and written communication skills.
Extremely detail-oriented and organized with a high level of commitment and follow-through.
Ability to manage multiple priorities in a fast-paced, ever-changing environment.
A motivated self-starter who can work both autonomously and collaboratively.
Exceptional problem solving, critical thinking, and project management skills with the capacity and anticipation to adjust based on shifting deadlines and moving priorities.
Note: Preferred candidate will reside in Northern IL, but position is open to remote work in any US state with access to major airport for necessary travel. The preference for the candidate is to be located in EST or CST.
Basic Requirements
Bachelor’s Degree (Computer Science, Engineering, Math, Statistics or similar preferred) and 1-3+ years of data analytics and reporting experience or similar
OR 4 + years of data analytics and reporting experience or similar
Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.

Travel RequirementsUnder 10%
Relocation ProvidedNone
Position TypeExperienced
Referral Payment PlanNoOur U.S. Benefits include:
Incentive Bonus Plans
Medical, Dental, Vision benefits

401K with Company Match
9 Paid Holidays

Generous Paid Time Off Packages
Employee Stock Purchase Plan
Paid Parental & Family Leave
and more!
EEO StatementMotorola Solutions is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran's status, or, any other protected characteristic.


Director Of User And Safety Data Science

What you'll be doing
Develop a strategy that improves our understanding of user behavior through novel instrumentation, metric design, experimentation, and strategic analysis
Inform company and product strategies to broaden & deepen Discord’s appeal by partnering with senior leaders across the company
Lead a high performance team of teams, coaching and growing managers and data scientists while encouraging a culture of ownership, strategic impact, and proactive engagement
Build strong relationships across the company to establish yourself as the primary owner of user understanding, guide strategic planning, and inform decision-making
What you should have
You have 5+ years of experience as a people leader & 2+ years of experience managing managers
You have 3+ years of analytics experience in two or more of the following, in the context of a large-scale consumer-facing user product: user lifecycle, user growth, user experience, safety/integrity
You have technical proficiency in product analytics, self-service tooling (i.e. BI), and A/B testing
You excel in an ambiguous fast-paced environment and can provide principled solutions within short timeframes, either directly or through your teams
You are as comfortable debating and influencing VPs & the C-suite as you are exploring data and creating a high-quality dashboard
You are insatiably curious and driven. You want to understand not just what is happening, but why it is happening - and use a hypothesis-driven approach to do so
You have strong project management skills, with experience bringing Data Science, Data Engineering, and cross-functional partners together to deliver practical and impactful solutions
Bonus Points
Proficiency with BigQuery and/or Looker, with a keen eye towards performant SQL & clear, rich visualization
 Experience working closely with qualitative research teams
 Experience working with machine learning & data engineering teams
Passion for Discord
The US base salary range for this full-time position is $281,000 to $337,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.
#buildbelonging #LI-JF1
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
14+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now


Senior Data Scientist

Overview
We are looking for a Senior Data Scientist to design and build out data science solutions to enable our AI-based products which use advanced knowledge of ML and engineering to accelerate innovation in K-12 education. The perfect candidate will have strong skills in machine learning, NLP, and statistics with a good understanding of applying Generative AI in various use cases, a proven track record of collaborating and iteratively implementing data-intensive solutions, strong operational skills to drive efficiency and speed, and effective project leadership. You will be a part of a fast-growing team. You will educate stakeholders, mentor team members, and have a significant stake in defining the future of our AI based products.
Responsibilities
Essential duties and responsibilities include the following. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Design, build, and maintain statistical, NLP, machine learning and deep learning models to solve problems in personalized learning, recommendation, better outcomes for students, teachers and education Work closely with machine learning and data engineers to build out machine learning and LLM driven AI solutions incrementally and securely Champion  MLOps best practices  Work closely with the product management and development teams to rapidly translate the understanding of customer data and requirements to product and solutions Brainstorm new ideas in K-12 education space and design POCs quickly
Maintain an excellent understanding of the business’s long-term goals and strategy and ensures that the design and architecture are aligned with these Research and experiment with emerging technologies, tools and use cases related to Generative AI and LLM Adhere to software engineering best practices including continuous delivery and version control
Nice to Have’s
Ability to deal with scenarios where there is lack of data and use case ambiguity especially related to new product or feature Ability to work with team members in different time zones globally Experience with various cloud tools (AWS and Azure tools) and models at scale Experience with Sagemaker pipeline or Sagemaker Projects
Experience in topic modeling, NER, probabilistic language models, transformer-based language models, LLM Experience working with Ethical values, Explainability, Bias/Sensitivity of AI
Qualifications
To be considered for and to perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required.
Qualifications include:
Nuanced understanding of modern Deep Learning language representation techniques with the ability to design and implement novel Deep Learning solutions Mastery of Tensorflow/Pytorch/Keras frameworks for implementing and optimizing deep learning algorithms for training quality and serving performance Exposure to industry, open source or academic research, particularly in deep learning, NLP and LLMs Deep understanding of many different quality metrics (MRR, F1, NDCG, Recall/Precision, etc.) and the tradeoffs of each with the ability to design ensemble metrics  that correlate to business KPIs Strong algorithms, data structures, and coding background with primarily, Python or Java, C++, or Scala programming experience
Experience with software engineering standard methodologies (unit testing, code reviews, design document, continuous delivery) Ability to conceptualize and articulate ideas clearly and concisely A great team player who can bend his/her ways to help the team as needed Extensive experience with advanced AI/ML techniques concerning ranking, recommendation and personalization (e.g., natural networks/deep learning, reinforcement learning, A/B testing, Natural Language Processing, Generative AI, etc.) Experience with applying Reinforcement Learning in production scenarios is a plus.
Preferably PhD or Masters in Computer Science, Math, Physics, or other technical fields with 7+ years of experience
Compensation & Benefits
PowerSchool offers the following benefits:
Comprehensive Insurance Coverage (including Medical, Dental, Vision, Pharmacy benefits, Life Insurance and AD&D)
Flexible Spending Accounts and Health Savings Accounts
Short-Term Disability and Long-Term Disability
Comprehensive 401(k) plan
Generous Parental Leave
Unrestricted paid time off (known as Discretionary Time Off - DTO)
Paid Community and Volunteer Time Off (VTO)
Wellness Program, including ClassPass& Employee Assistance Program
Tuition Reimbursement
Optional Benefits: Pet Insurance, Identity Theft Protection, Student Debt Repayment Program and Prepaid Legal coverage
A reasonable estimate of the base compensation range for this position is $110,000 – $140,000. The compensation range is specific to the United States and incorporates many factors including but not limited to an applicant’s skills and prior relevant experience and training; licensures, degrees, and certifications; internal equity; internal pay ranges; and market data/range parameters.
EEO Commitment
PowerSchool is committed to a diverse and inclusive workplace. PowerSchool is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers PowerSchoolers to deliver the best results for our customers. We not only celebrate the diversity of our workforce, we celebrate the diverse ways we work. If you have a disability and need an accommodation regarding our recruiting process, please let us know by emailing accommodations@powerschool.com.
#LI-RR1
#LI-REMOTE