Data Scientist

About This Role

Hello prospective pickle! Design Pickle is looking for an experienced Data Scientist to join our team and help us develop new ways to inspire our customers and streamline processes for our global network of creatives.

The ideal candidate will be able to create efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. They will also be required to support and manage growth of these data solutions. Given our aspirational vision, to be the most helpful creative platform in the world, and the nature of our products, this role requires entrepreneurial drive and thinking, comfort with ambiguity, and ability to break down and solve complex problems.

If you have ever wanted to make a significant contribution and help shape the trajectory of a startup, this role is for you!

Reports to: Director of Data Science & Analytics

On a daily basis, works closely with Engineering, Product Management, Product Marketing and Global Operations.

Location: Design Pickle is a fully remote company with a Company Hub in Scottsdale, Arizona.

Who We Are Looking For

First, Design Pickle is anything but typical. We’re a group of hard-working, creativity-loving individuals from around the world.

Do we love pickles, too? Most of us! But don’t stress if pickles aren’t your thing. It’s not a deal-breaker. We do look for a passion and interest in something though because our employees’ uniqueness is what helped make us the great company we are today.

We stand by our vision, purpose, and values, and these are mission-critical to how you show up every single day.

Specific to your role, we’re looking for individuals who have...

Proficiency in one of the following languages: Python, Java, R, C/C++
Proven track record in MLOPS, including designing and implementing machine learning and deep learning algorithms, ideally using tools and libraries such as pytroch, tensorflow, PySpark.
Experience in natural language processing or computer vision using deep learning models is a plus.
Excellent  communication skills.
Proficient with SQL database.
Hands-on experience with a large scale NoSQL (i.e. MongoDB, Neo4j, AWS S3, etc.) storage solution is a plus.
Proficient in Computer Science fundamentals such as data structures, algorithm design, and complexity analysis.
Experience with both batch and streaming analytics architectures.
Experience with big data analytics tools such as Hadoop and/or Spark is a plus.
Detail oriented and strong interpersonal skills.
MS in Computer Science, Artificial Intelligence, Machine Learning, Data Science or related field. Or 3+ years of equivalent experience.

Bonus Pickle Points:
BA/BS in Computer Science or related field or equivalent experience
Experience working with AWS services - S3, Redshift, ML
Experience working with and building reports using tools like PowerBI, Tableau
Experience working autonomously in global teams.
Experience influencing critical decisions with data.

Key Objectives and Responsibilities

Conduct cutting-edge research and development of novel machine and deep learning models that promote and advance Design Pickle business objectives.
Apply your expertise in advanced analytics, data mining, and presentation of data to facilitate senior leadership decision-making to produce better products and customer experience.
Build and maintain high quality Business Intelligence (BI) tools that provide  reports, dashboards and metrics to better inform current and future business trends.
Apply MLOPS framework to manage development of data resources, gather requirements, organize sources, and support launches while keeping the team focused on engineering and operational excellence.
Partner with Senior Leadership, Product, Engineering, and Global Operations teams to solve problems and identify opportunities and areas of improvement.

Benefits, Compensation, and Perks

Uncapped PTO: Hate seeing your PTO hours decrease as the year goes on? Not anymore! There is no cap or number associated with the amount of PTO days you can request.

Major medical healthcare: We major medical plans through United Healthcare which is managed seamlessly through Employee Navigator

Dental and vision insurance: We work with Beam Dental and VSP for ancillary coverage.

Remote-work flexibility: More productive at home? Not based in Scottsdale, AZ? Fine with us! We are a remote-first company with people all over the country.

401K: Plan for your future with a 401K, managed by Securian Financial, with a 3% company match.

World-class Company Hub: More productive in an office? Also, fine with us! Our Company Hub is set up with state-of-the-art standing desks, high-definition monitors, breakout rooms for meetings and calls, a podcast studio, a relaxation room, a merch wall, and a cold plunge! ….yes, we said a cold plunge.

In-office gym: Our Company Hub also has a small CrossFit-style gym with Peloton studio available for any pickles to use!

Life-changing massage chair: We change lives through creativity...and massages. Our team has traveled far and wide to take advantage of a life-changing massage chair that is housed in our Company Hub. One massage is all it will take to radically transform your life.

New parent leave: Design Pickle encourages all primary caregivers to take up to 8 weeks leave for a new family member, including adoption, at full salary.

Paid training and personal development: We offer a yearly stipend for employees to continue to grow their skillset and learn things to help them in their careers.

Pet insurance: Have a furry friend? Design Pickle offers pet insurance through United Pet Care for discounted vet visits, medication, and procedures.

Team retreats, social events, and adventures: Pickle collaboration is important to us! We host regular social events, get-togethers, and experiences for our staff.

About Design Pickle

Design Pickle was founded in 2015 with a vision to change lives through its creative software, solutions, and services. Since then, the company has grown to be the #1 flat-rate creative services company in the world. We have served tens of thousands of clients with a team that spans the globe.

In 2019, 2020, 2021 and 2022, Inc. 5000 listed Design Pickle as one of the fastest-growing companies in America.

We are a company that takes our core values to heart:

Be the SPARK
Let your fire and passion inspire someone else’s day.

DRIVE Performance
Seek out new ways to improve performance, satisfaction, and impact for our customers. Less is more rules supreme.

Give it to me STRAIGHT
Lead with radical and professional candor in every situation. Graciously accept when others do the same. Move forward together and aligned.

HELP when nobody's watching
Find opportunities to support each other and our clients beyond the day-to-day.

Lean into HARD
We thoughtfully select our challenges and tenaciously commit to conquering them.

Make your own PICKLES
We are a collection of incredible individuals who challenge ourselves and each other to grow. Change is celebrated as a sign of progress.

You can learn more about our company, our vision, and what we stand for on our website and social channels. We can’t wait to meet you—thank you in advance for your application!

Design Pickle is an Equal Opportunity Employer. You will often hear members of the Design Pickle team refer to themselves as “pickles”. Pickles come in an infinite amount of variety, and as such, the pickles at Design Pickle celebrate every aspect of our diverse workforce and do not tolerate discrimination on the basis of race, color, religion, marital status, age, nationality, (dis)ability, gender, gender expression, or sexual orientation.

All employment decisions are made on the basis of qualifications, merit, and business need. The right pickle for the right opportunity. Design Pickle is an Equal Opportunity Employer.

Notice to Staffing and Recruiting Agencies

Design Pickle will not accept resumes from any source other than the candidate. Any unsolicited resume sent to Design Pickle will be considered Design Pickle sourced.

PM21


Data Scientist Lead

Purpose of Job
About USAAUSAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Data Scientist Lead uses sophisticated techniques that integrate traditional and non-traditional datasets to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds analytical solutions improving internal and external applications to deliver value and build competitive advantage; Leads initiatives and influences system architecture to enable automated intelligent solutions. Translates sophisticated analytical and technical concepts to senior management to enable business decisions; Maintains relationships with academic and industry leaders with vision to ensure enterprise has access to groundbreaking thinking and technologies.
USAA values a culture that is highly collaborative, and we have found that a hybrid work type helps employees gain the best of both worlds – collaborating in-person in the office and working from home. The actual onsite days are settled between each employee and the employee’s manager. Candidates are encouraged to live a commutable distance from one of our offices in San Antonio, TX, Phoenix, AZ, Tampa, FL, Charlotte, NC. Remote Opportunity is available for this role.
Job Requirements
Identifies and leads existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Partners with business leaders across the organization to assess business needs, define business problems and develop a research agenda; leads cross functional, matrixed teams to solve highly sophisticated work critical to the organization.Designs and builds large and sophisticated information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Leads and conducts sophisticated analytics demonstrating predictive modeling, machine learning, simulation, optimization, and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Leads efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Provides mentorship regarding analytical approach and iteration of algorithms to team members.Translates sophisticated analytical and technical concepts to senior management and non-technical employees to enable understanding and drive informed business decisions.Develops and maintains academic and industry relationships for the purposes of research; interacts with internal and external peers and management to maintain expertise and awareness of groundbreaking techniques, technologies, and potential business solutions.
Minimum Qualifications:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.8 years in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other sophisticated mathematical techniques (e.g., neural nets, simulation, graph analysis).Expert in at least one compiled language (e.g., Java, C or more) and one dynamic scripting language (Python, PERL, Ruby).A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).Extensive background in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and fields within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
Preferred Qualifications:
Excellent technical skills, including proficiency in tools such as Gitlab/Github/csv/svn as a version control tool, proficiency in packages such as pip/pipenv/poetry/conda for environment management, and proficiency in packages such as airflow/luigi for workflow management4+ years of experience applying key concepts in computer science, software engineering, algorithms, computing, and statistics to problem solving4+ years of proven experience or background in financial markets, consumer financial behavior, macroeconomics, or deposits products4+ years in demonstrating ability, flexibility, and creativity in solving open questions and unsolved problems in analytics and data science
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $135,200 – $243,500.
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium will be addressed on an individual basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning, and continuing education assists employees with their professional goals.
To see details on our outstanding benefits, visit USAA Total Rewards.
Relocation assistance is not available for this position.


Director Modeling Analytics Commercial Lines

Purpose of Job
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
The candidate selected for this Commercial Lines position is going to get work with the recently launched Small Business Insurance product within USAA. They will work alongside an energetic team with a startup mentality, within the incredible culture of USAA.
Effectively manages and leads a team that develops and analyzes data to predict business results or member behavior.  Technically proficient in statistics, mathematics, and tools used in predictive modeling.  Partners cross-functionally with business to deliver breakthrough analytical solutions to support a winning strategy in a continually changing business environment.
Job Requirements
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Builds and manages a strong modeling analytics team.Establishes performance objectives and provides ongoing feedback and coaching.Frequently interacts with business partners to identify opportunities for predictive analytics to drive business strategy and results forward.Delivers insight to senior leadership on a regular basis.Lead the development, enhancement and implementation of statistical and other quantitative models to support loss prediction, assess member value, predict member behavior or financial performance and other business applications.Full ownership of the model development process and relationship with the business customer: from conceptualization through data exploration, model selection and validation, implementation, business user training and support.Develops and provides subject matter expertise on the current and emerging predictive modeling techniques for various areas within the financial services industry.Monitors and understands emerging technology that can affect modeling and potential business risk.Educates and coaches peers and business partners to leverage predictive analytical solutions.Coordinates with legal counsel to ensure regulatory compliance regarding model design and the acquisition and usage of data for segmentation and modeling purposes.
Minimum Requirements:
Bachelor’s degree in Statistics, Economics, Engineering, Mathematics, Actuarial Sciences or related field; OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.8 years of experience in statistical analysis and model development; or if Advanced degree in Statistics, Economics, Engineering, Mathematics, Actuarial Sciences or related field then 6 years progressive data modeling experience.3 years of team lead or management experience required.Expert knowledge of key econometric and statistical techniques (predictive modeling, logistic regression, survival analysis, design of experiments, decision trees, data mining methods, and other advanced statistical and econometric techniques).Knowledgeable in Data Modeling and Data warehouse concepts.Experience in data modeling (dimensional and other techniques using modeling tools) along with transactional systems, data warehouses and data marts.Proficiency with design, conceptual, logical and physical data models.
Preferred Experience:
Lead the technical design & development for proprietary pricing algorithms.Perform of non-traditional models and data (including vendors).Lead Analytic Data Consumption efforts.Lead actuarial strategy for third-party data.5+ years commercial insurance pricing or UW experience.2+ years people management experience.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $117,600 - $211,700* (this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.


Lead Advanced Analytics Consumer Insights

Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.
The Location
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Airbnb,Inc. can employ in  states where we have registered entities. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware and Rhode Island. This list is continuously  evolving and being updated, please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Role Summary
We are looking for a senior Analytics expert to partner with the Consumer Insights team (CI). The CI team empowers Airbnb leadership with forward looking insights and research about consumer trends, the travel industry, Airbnb products, the needs of our current & prospective guests & Hosts, and beyond. We primarily use first and third party sources external to Airbnb so we can help the company skate to where the puck is going.
Role Responsibilities
Data thought partner to the Consumer Insights team through proactive analyses and insights and using internal data to inform research methodologies.
Drive day to day analytics to empower the Consumer Insights team

Develop a deep understanding of how guests and hosts interact with our product using internal Airbnb data and proactively drive analyses in partnership with the CI team.
Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. Collaborate with Analytics Engineering to build data tools for mass consumptions within Airbnb.
Able to conduct analysis using advanced techniques when needed (statistical data analysis such as linear models, multivariate analysis, sampling methods, and causal inference)
Partner with researchers to design, execute and analyze surveys, with a particular focus on sampling methodology and statistical analyses of survey results.

Contribute towards advancing the Analytics disciplines at Airbnb, including driving data best practices such as improving and automating analytical processes, building new data tools and data sets, data education around the company and mentoring and developing others.
Role Qualifications:
5+ years in industry experience and a degree (Masters or  PhD is a plus) in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
Experience with data visualization and building dashboards (e.g. Tableau, Superset)
Experience in A|B experiments, statistical data analysis such as linear models, multivariate analysis, sampling methods, and causal inference
Experience with survey design and sampling methodologies preferred
Experience with consumer research preferred
Strong knowledge in at least one programming language (Python or R) and in SQL
The Pay
Our job titles may span more than one career level. The starting base pay for this role is between $144,000 and $194,000. The actual base pay is dependent upon many factors, such as: education, experience, and skills. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Belonging & Accommodation
Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at: reasonableaccommodations@airbnb.com.
Apply now


Principal Data Scientist Allstate Innovation

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
The Allstate Innovation team helps drive Allstate’s future by identifying compelling business opportunities, developing selected opportunities into thriving businesses, and assisting Allstate businesses with meeting their innovation objectives. We bring together skills in strategy, design, technology, and data science to create new products and businesses. And as Allstate’s corporate innovation team, we focus on high-impact, future-facing enterprise priorities.
The Allstate Innovation team is looking for a Principal Data Scientist to help define and drive innovative new opportunities for Allstate, focusing on emerging technologies, fast-growing startup market spaces, and highly impactful consumer problems. Examples of Allstate’s innovation successes in the past five years include:
Exploration of AI risk assessment technologies that resulted in a new B2B big data venture, Arity – a startup with the backing of a Fortune 100 company
Exploration of emerging device (e.g. smart phone) protection space that resulted in $1.4B acquisition of SquareTrade Inc.
Exploration of digital protection space that resulted in $525M acquisition of identity protection company InfoArmor Inc.
Exploration of peer-to-peer space that resulted in a new P2P car sharing venture, Avail – a startup with the backing of a Fortune 100 company
Job Summary (cont.)
As a Principal Data Scientist, you will help our team identify, drive, and lead Allstate’s next big innovation.  Innovation projects typically feature cross-functional teams with expertise in Business Strategy, Product, Technology, and Design.  We work in a variety of different spaces, industries, and emerging technology areas.  Example areas of exploration include: Web 3.0 (de-centralized Internet/blockchain), Internet of Things/smart home, future of automotive (EVs, autonomous vehicles), climate risks, and the consumer data economy.
The Principal Data Scientist role will be responsible for leading the analytical efforts for innovation programs, partnering with business and product functions to help define the right analytical approaches to solving business problems. These approaches will include the development and execution of exploratory data analyses and advanced predictive models, algorithms, knowledge graphs, and machine learning techniques using structured and unstructured data, and the role will be a key person in defining what data will be needed, how it will be collected, and how it will be managed.
These efforts will require an experienced person accustomed to translating complex analyses into key insights for data-driven decision making and effective communication of the results. This person will also be the key interface with other data analytics organizations within and outside the enterprise on larger initiatives. Over time, the role can grow into management of a small team of more junior data science specialists to execute the programs and will be responsible for their career growth and success.
Job Qualifications
An undergraduate degree in a quantitative or technical field such mathematics, finance, economics, computer science, or engineering. A Masters or Ph.D. degree in a relevant discipline is strongly preferred.
10+ years of experience in roles relevant to data analytics, machine learning techniques, and data visualization approaches are key to being successful in this role.
Experience with climate modeling including direct ties to the climate community and thorough understanding of the modeling successes and shortcomings over the decades.
Strong proficiency in statistical techniques for exploratory, predictive, and causal analytics with experience in applying them to solve business problems for large-scale programs.
Excellent programming skills in some rapid prototyping environments such as Python and R.
Experience with parallel computing in frameworks like Spark and Dask.
Knowledge and experience in development of models and algorithms, including machine learning-based approaches, using common industry tools and libraries such as PyTorch and Tensorflow.
Job Qualifications (cont.):
Experience in Extract Transform and Load (ETL) processing large datasets of different forms including structured, semi-structured and unstructured data
Proficient in SQL and database management, both relational and big-data platforms.
Experience using data visualization tools such as Tableau and graphic representation of complex data.
Experience with property insurance analytics/pricing is a plus.
Notes:
The preceding description is not designed to be a complete list of all duties and responsibilities. May be required to perform other related duties as assigned. Regular, predictable attendance is an essential function of this job.
Compensation offered for this role is The salary range for the role is $150,000-$195,000+Bonus. Offer will be commensurate with experience and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life — including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee’s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.


Data Scientist Logistics

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities. Plus, Allstate is changing how, when, and where we work-to lead us boldly into our future. We’re empowering our employees to create better ways of working through more intentional use of communication and collaboration practices, processes and tools.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
The Data Science team at Allstate Roadside maximizes the marketplace efficiency of our services though influencing the supply and demand of rescues and rescue providers in real time. This involves developing a fundamental understanding of the rescuer behavior in a rapidly changing market, creating dynamic pricing strategies that can influence the supply of rescue providers in an area that is seeing a surge in demand. This ensures our customers enjoy the highest customer service while our rescue providers are able to maximize their earnings.
This Data Scientist/Machine Learning Engineer Python role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling.
Key Responsibilities:
Work on optimizing real time dispatch systems and build scalable solutions  to solve challenging problems.
Contribute to entire life cycle of machine learning models from ideation to deployment , monitoring and retraining.
Work on variety of data sets in a cloud analytics environment, crunching millions of samples in creative ways to discover new insights and operationalize powerful solutions
Collaborate with engineering teams to design and implement software solutions for data science problems.
Understand ambiguous business problems and convert them into data science solutions ie create insights, decisions, white papers and models.
Develop deep understanding of the business. Research solutions to recommend strategies that impact key organization metrics. Learn quickly and adapt to changing business needs
Qualifications
Degree in a quantitative field such as statistics, mathematics, computer science, finance.
Master’s or PhD, preferred, with 2 or more years of experience.
Bachelors and 5 or more years of experience.
Hands-on experience in implementing, maintaining, and running machine learning models in production in Python.
Experience using SQL to pull data.
Experience working with ML frameworks such as SkLearn, XGBoost, and Tensorflow.
Previous work doing Big Data Processing using Spark a plus.
Experience designing experiments and ability to infer causal relationships a plus.
Experience with operations research a plus.
Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life — including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee’s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.


Arity Data Scientist Intern

Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.
The Analytics Team
At Arity, our Data Science team is at the core of helping us transform mobility. We not only know how to analyze and find meaning within billions of miles of driving data collected from smartphones, onboard devices and third parties; we are passionate about how it affects the end-users of our products. On our team people get the opportunity to build scalable distributed data pipelines, develop and deploy an array of machine learning algorithms, and create eye-opening data visualizations. We find top talent from various quantitative disciplines to collaborate with product owners, software engineers, and experience designers in development teams to create innovative products to make transportation smarter, safer, and more useful for everyone.
Job Description
This is a Summer 2023 internship for students currently enrolled in a degree program. This role is responsible for the use and development of data infrastructure projects and proof of concept business solutions for users in Analytics and Data Science. This person partners with Data Scientists and Analytic Engineers to provide tactical solutions. This is a highly dynamic position that requires a great degree of flexibility, analytic agility and the ability to rapidly adapt to changing business requirements/needs, new technologies and data sources. This role requires close integration and partnership with the business and Data Science team, and requires business acumen in order to output the best technical solutions.
Uses best practices, with limited coaching, to develop machine learning and computer vision techniques to build models that address business needs
Utilizes effective project planning techniques to break down basic and occasionally moderately complex projects into tasks and ensure deadlines are kept
Uses and learns a wide variety of tools and languages to achieve results (e.g., R, Python, Spark, SQL)
Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling
Innovates on projects by using new modeling techniques, computer vision techniques or tools
Executes on modeling/machine learning projects effectively
Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership
Job Qualifications
Target Start date: May/June 2023
Currently pursuing a degree in a quantitative field (e.g. mathematics, statistics, computer or physical science)
Pursuit of a graduate degree strongly preferred
Ability to solve problems, think critically, and communicate clearly
Knowledge of statistical modeling, machine learning, mathematical optimization, and/or data mining
Experience with programming
An understanding of algorithmic scaling and complexity a plus
Experience with big-data tools (Ex. Spark) a plus
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
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Principal Data Scientist

About the team
Zillow Group’s mission is to give people the power to unlock life's next chapter. As part of the Growth Data science, you will be an integral partner to Zillow’s Growth Product team which has a mission to Acquire and Activate high-quality users for Zillow group brands. The Growth product team is an impactful ensemble of multiple key business functions including Search Engine Optimization, Integrated communications, Authorization, Activation, and Onsite Messaging platform that acquire and engage millions of users across our platforms.Our Data Science team is tasked with absorbing millions, sometimes billions, of rows of data from various sources, organizing them, analyzing them, and visualizing them to help advise both short and long-term decision-making. Our structure is very flat and you will soon find yourself partnering directly with Senior Leadership.
About the role
We strive to predict our customer’s needs at various stages of their real estate journey and serve customized messaging across multiple customer tocuchpoints about our product offerings. The Data Scientist in this role will partner with product teams to implement an experimentation framework and measurement strategy to uncover deep insights about the customer funnel through multivariate testing and advanced analytics. They will measure the success of messaging and product offering upsells, and use this data to influence business strategy and build product roadmaps.
More specifically, this role will require:
Expertise in applied statistics skills, such as hypothesis testing, experimental design, power analysis and experiment evaluationProven experience with reinforcement learning techniques in experimentation and multivariate testing; and outlining and evaluating intrinsic and extrinsic metrics for model performance aligned with business goalsKnowledge of and/or experience in bayesian methods and probabilistic modelsAbility to understand various data structures and common methods in data transformation.Ability to influence and form a close partnership with cross-functional teams of engineers, marketers, user researchers, product owners, designers and business decision makers who are passionate about driving our customer’s success Embracing and supporting deployment of standardization and automation throughout program cyclesBe hands-on in technical feature development, design and code-reviews, prototyping and deployment to productionResearch and pioneer the adoption and use of new technologies within Zillow.
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $161,700.00 - $258,300.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
At Zillow, we are a group of curious and ambitious problem solvers passionate about all things real estate, and we hope you'd be excited to help consumers make one of the biggest decisions of their lives. Help us guide our business into the future with powerful insights and recommendations! We're seeking a data scientist with the following qualifications:
A Ph.D or Master's degree in a quantitative field (e.g. science, engineering, economics, quantitative finance, operations research, statistics, or similar)8+ years of work experience involving quantitative data analysis, experimentation and complex problem-solving. Proficiency in SQL, and either Python or R, along with some experience with Tableau, Mode, or other visualization softwareSuperb verbal and written communication skills with the ability to distill sophisticated issues and detailed analysis into simple, structured frameworks with concrete action plansAble to work cross-functionally and influence business partners to set realistic goals and focus on data-driven solutions
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at RecruitingAccessibility@zillowgroup.com.
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
See what information we collect about you.


Senior Applied Scientist

About the team
Zillow Group’s mission is to give people the power to unlock life's next chapter. The Customer Conversion AI team builds models that enable smarter products and deliver strategic insights that help customers transition from browsing to successfully buying or selling a home.Zillow, the top real estate website in the U.S., is building an on-demand real estate experience. Whether selling, buying, renting or financing, customers can turn to Zillow to find and get into their next home with speed, certainty and ease.
About the role
This role will employ a broad variety of data science and machine learning skills to build production-quality models that help understand customer needs and facilitate their journey to transaction.
You will get to:
Leverage large, multi-modal datasets of customers' online and offline data to identify and solve customer challengesBuild scalable optimization models to ensure that each customer is connected to a real estate professional who can provide the service they require at the desired time.Partner with a variety of teams such as mortgages, agent products, buyers, and sellers to tackle the most challenging modeling problems.
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $150,200.00 - $239,900.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
Are you passionate about all things “home”? Would you describe yourself as a curious and ambitious problem solver? Come help us guide our business into the future by building the models behind smarter products and powerful insights and recommendations! We're seeking an applied scientist with the follow qualifications:
Possesses an undergraduate or Master's degree in a quantitative field (e.g. mathematics, computer science, statistics, or similar)3+ years of work in machine learning or data science/research in industryExcellent communication skills with the ability to distill complex issues and detailed analysis into simple, structured frameworks with concrete action plansExperience deploying machine learning models in productionExperience with processing and learning from large data sets using distributed frameworks such as SparkExperience building statistical models to yield insights from complex user journeysStrong proficiency in Python and/or another programming language; experience using SQL, Tableau, and Excel
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at RecruitingAccessibility@zillowgroup.com.
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
See what information we collect about you.


Data Scientist Lead

Data Scientist, Lead
The Challenge:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve the government's advanced analytics capabilities. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, apply machine learning and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Join us as we use data science for good in bringing decision support and innovation to our clients.
Empower change with us.
You Have:
5+ years of experience within data science, machine learning engineering, data analytics or researchExperience with programming languages, including Python, C++, Java, or RExperience with building statistical models and developing machine learning algorithms, including supervised, unsupervised, or reinforcementExperience with designing and executing machine learning models and applicationsExperience with cloud services, including AWS, Azure, or Google CloudKnowledge of the software development life cycle, testing, and version controlAbility to obtain a security clearanceBachelor's degree
Nice If You Have:
Experience with distributed programming languages, including Spark or ScalaExperience with data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSetsExperience with business intelligence tools, including Tableau or QlikExperience with data lakes, data warehouses, or data lake housesExperience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science modelsExperience with CI/CD, including Git, Jenkins, and DockerPossession of excellent verbal and written communication skillsSecret clearance
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation:
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
The proposed salary range for this position in Colorado is $170,000 to $200,000. Final salary will be determined based on various factors.
Build Your Career:
At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:
access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunkchange the world with the Data Science Bowl—the world’s premier data science for social good competitionparticipate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.


Data Scientist Mid

Data Scientist, Mid
The Challenge:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve a DoD client. You’ll work closely with your client to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. You'll develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leaders within the client office to make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in Personnel and Readiness. This position is open to temporary remote delivery anywhere within the U.S., to include the District of Columbia
Empower change with us.
You Have:
Experience with machine learning, data science, data mining, statistics, data retrieval, or graph algorithms in academic or internship environmentsKnowledge of two or more coding languages, including R, Python, SQL, or SASSecret ClearanceBachelor’s degree
Nice if you have:
Experience with data wrangling tools, including StreamSet or TrifactaExperience with Big Data analysis programming techniques and technologies, including HadoopExperience with relational databases and data pipelinePossession of excellent data gathering, analytical, and problem-solving skillsPossession of excellent verbal and written communication skillsMaster’s degree in CS, Computer Engineering, or Systems Engineering
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation:
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
The proposed salary range for this position in Colorado is $70,000 to $90,000. The salary for this position will be determined based on various factors.
Build Your Career:
At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:
access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunkchange the world with the Data Science Bowl—the world’s premier data science for social good competitionparticipate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, onsite boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.


Data Scientist Junior

Data Scientist, Junior
The Challenge:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve Booz Allen employee experience and business processes. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms and scripts, build predictive analytics, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help Booz Allen leadership make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in Booz Allen’s growing internal data science team. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Empower change with us.
You Have:
1+ years of experience using statistical programming languages, including Python or R, and data analytics libraries, including pandas, NumPy, SciPy, scikit-learn, Keras, TensorFlow, Tidyverse, or Tidymodels1+ years of experience with data visualization tools and techniques1+ years of experience with SQL and relational database systems Bachelor's degree
Nice If You Have:
1+ years of experience building statistical or machine learning models, including generalized linear models, tree-based models, neural networks, clustering algorithms, and time series modelsExperience with contributing to or collaborating on analytics products using version control systems, including GitHub or GitLabExperience establishing CI/CD pipelines using DevOps tools and techniquesExperience with dashboarding tools, including Tableau or Power BIExperience in performing analysis with AWS or Azure Cloud tools, including AWS Lambda, Azure Functions, or Azure WebAppsExperience in performing analysis with cloud computing environments, including Databricks using SparkExperience with consulting, client management, and stakeholder engagementExperience with technical writing, including presentationsAbility to be flexible and work under dynamic and changing environmentsBachelor's degree in Data Science, Mathematics, Computer Science, Physics, Statistics, or Quantitative Social Sciences
Compensation:At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
The salary for this position will be determined based on various factors. The proposed salary range for this position in Colorado is 65,000 to 95,000.
Build Your Career:
At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:
access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunkchange the world with the Data Science Bowl—the world’s premier data science for social good competitionparticipate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.


Senior Data Scientist

About Tala

Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC’s Disruptor 50, and Forbes’ Fintech 50 list for four years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.

By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, more than 6 million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.

Most Talazens join us because they connect with our mission of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we’d love to hear from you!

We are looking for a Senior Data Scientist interested in solving one of the world's biggest problems: financial inclusion. As a Data Scientist you will lead data science initiatives that drive improvements in customer experience, operational efficiency and recovery. You will own the modeling cycle through scoping, development, deployment and after-sale and monitoring, with keen focus on business outcomes and stakeholder management.

What you'll do:

Embed with business stakeholders to identify, test and implement data science solutions that drive business and customer success. Develop a roadmap in collaboration with stakeholders to organize and prioritize initiatives.
Own full-cycle of machine learning products from ideation and training through deployment into our production environment – including real-time inference – and after sales service. Obsess over machine learning products, iterating rapidly if necessary.
Become a multiplier for data science team by sharing work, providing mentorship to junior team members, providing technical feedback and developing work into shared team tooling.
Be a thought partner for the business, leverage data insights and strong communication skills to influence company strategy.

Qualifications:

4+ years of experience in a data science role or equivalent position.
2+ years in a senior / lead position leading the execution of end to end machine learning solutions for business stakeholders.
Fluency with Python and packages related to machine learning.
Comfort with SQL.
Experience with the full modeling cycle, from scoping and development through deployment, after-sale and monitoring. Demonstrated business value in previous roles.
Competency with statistics. Knowledge of experimental design and analysis basics.
Strong collaboration and communication skills. Ability to tell stories through data and effective visualization.
Ability to thrive in at times ambiguous and complex environments.
Desire to champion simple, correct, and hardy systems.

Preferred Skills & Experience:

Experience with causal modeling techniques such as uplift modeling
Experience deploying real-time model inference/scoring systems

Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.


Commercial Data Science Internship Spring

Do you love the art of using data to solve complex business problems?   We do too – and would be excited to have you join our team at Walt Disney World!
Our mission as part of the Commercial Strategy organization is to put our data assets to work and apply quantitative techniques to discover previously unknown insights about our Guests and business.   We get to work directly with the major decision-makers at Disney who shape the Walt Disney World experience.  Through our insights, we help form and improve Disney products and offerings.
This is a unique role, in that it looks across a variety of functional areas, and enables the creation of holistic models to better predict and prescribe improvements to the overall Walt Disney World business.   A position like this puts you in the middle of the main commercial decisions of the company – and is a great way to showcase your highly-technical data science and data engineering skills!
The Professional Intern – Data Science currently reports to the Lead Data Science and is an individual contributor role.
Position Responsibilities
While each day will be different, with rotating priorities, the main themes for this role include you being a(n):
Contributor.  You will use your skills to develop data structures, documentation, and analysis to drive value & efficiency for the team.
You will work on tools, processes, reporting, and documentation focused on the Commercial data ecosystem.You will create data solutions, answer adhoc business questions, and help your team by addressing data concerns or questions.You will adhere to best practices, including but not limited to code reviews, automated testing and coverage, version control, CICD, configuration management, and clear documentation as you support large data and analytic projects.
Collaborator.  You will use your interpersonal skills to develop relationships that lead to successful data solutions.
You will work with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions for the Commercial organization.You will build partnerships with data scientists and data analysts, leveraging your knowledge of analytics and machine learning concepts, to enable the development of impactful analytical products.
Learner.  You will lean into your curiosity to understand business problems, data environments, and people!
You will learn about existing and emerging data engineering and analytical solutions, capabilities, and technologies and be able to support, maintain, and mature them.You will learn about different teams, functions, and locations, which will help you to understand the complex operation, as well as learn to work with many different personalities and skill levels as they troubleshoot different technology solutions.
Basic Qualifications
Experience with SQL, Python, or R to perform data manipulation, engineering, or analysisFamiliarity with SQL or NoSQL databases, as well as data modeling techniques/standard methodologies and practicesKnowledge of industry leading data and analytic tools (e.g., Snowflake, Git, Sagemaker, Dataiku, Tableau)Ability to follow existing programming and style guidelines to maintain consistent quality of codeAbility to maintain documentation, procedures, and working instructions for the Commercial teamTime-management skills, with ability to prioritize multiple requests and communicate status to partners/leadershipStrong communication, interpersonal skills and fortitude to get stuff donePassionate about data, technology, and challenging the status quo
Preferred Qualifications
Familiarity with Docker and KubernetesFamiliarity with Machine LearningExperience with using ML Frameworks, libraries, and tools, such as TensorFlow, Spark MLlib, PyTorch, scikit-learn, Keras, etc.Experience with cloud platforms, such as AWS, Google Cloud, or Azure, as well as big data technologies
Required Education
Currently enrolled undergraduate student studying Computer Science, Computer Engineering, Data Engineering, Information Systems, Software Engineering or related field at an accredited college/university


Sr Data Scientist

Data scientists at Disney are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners.
Our team is looking for an experienced data scientist to be part of one of our distribution platform teams, which are responsible for building and operating the services that power experiences across many of Disney’s most recognized brands, including ABC, ABC News, Marvel and National Geographic. This role will be specifically focused on building a personalization platform that powers personalized experiences such as content to content recommendation on products owned by the above brands. You will help deliver theML data models, APIs, and data required for product teams to create delightful, personalized experiences for our guests. We look for someone with deep analytical and modeling expertise, a proven track record of thought leadership and eagerness to drive impact.
Responsibilities:
You’ll make a great fit for our team if you like to do these things:
Modeling: Design, build and improve machine learning models. Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results. Collaborate with engineering to productionize models. Drive experimentation to test impact of model-based optimization.Deep analysis: Develop comprehensive understanding of guest engagement data and metrics. Mine large data sets to identify opportunities for improving content recommendations.Visualization of Complex Data sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights communicated clearly and visually.Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.
You’ll be expected to be 100% hands-on development and deliver quickly and iteratively in an agile environment with an opportunity to provide mentorship and leadership to other team members as we build a world class platform supporting some of Disney’s premier brands.
Basic Requirements:
Bachelor’s degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)5+ years of relevant industry experience designing, building, and evaluating practical machine learning solutions5+ years of experience with statistical programming language (e.g. Python, Spark, PySpark) and database languages (e.g. SQL)Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Airflow, GithubDemonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original researchCapability to educate the organization both from technical and business perspectives on new approaches, such as testing hypotheses and statistical validation of resultsComfortable working in a team environment using Agile methodologiesProven experience providing technical mentorship to junior team membersExperience with developing for public clouds like Google Cloud Platform (GCP) or Amazon Web Services (AWS)Experience with DockerExperience with ETL pipelines
Preferred Qualifications:
Proven experience developing, monitoring, and maintaining high-volume and highly-available distributed systemsFamiliarity with data exploration and data visualization tools such as Tableau, LookerFamiliarity with designing and analyzing A/B testing and other experiment typesExcellent programming skills and strong knowledge of the Java platform and Java web applications and frameworks (Spring/Tomcat/etc)Deep understanding of web architecture including HTTP, caching and API delivery paradigms (REST, GraphQL)Experience with full software development lifecycle and common best practices like unit testing, collaborative version control flows, and continuous integration


Senior Data Scientist Delivery Technology

Back to Careers
Are you passionate about data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at GoPuff? Come join the GoPuff Data Science team and #ChangeTheGame.
GoPuff is a high-growth startup that is revolutionizing hyper-local e-commerce. We warehouse and deliver thousands of products to your door super fast. We're currently operating in over 500+ cities within the US and expanding quickly.
Data Science at Gopuff is really fun, we are super collaborative, really focused on business impact, and driving a better customer experience via machine learning solutions, modeling, and causal inference. Our team is involved end-to-end on the delivery of those models: from deeply understanding our product and our users to identifying opportunities to enhance the product with data-driven solutions, to writing the model’s code and working with engineering on having that model used by different systems across our platform, to experimentally testing and evaluating the performance and impact of our models.
As a Data Scientist at GoPuff working on the Delivery Technology Team, you will help develop data-driven models to optimize the delivery experience for consumers and delivery partners in our platform across dispatch optimization, delivery routing/ETAs, delivery simulation, driver pricing/incentives, as well as the delivery partner experience (goDrive app). All of that, with a direct impact on the delivery experience that is so core to serving our customer's immediate needs. You’ll have the opportunity to make a huge impact on the future success of GoPuff.
We’re looking for a doer, problem solver, and thought-leader.
Responsibilities
Collaborate with our business and engineering partners across the organization to deliver data science solutions for practical business problems.Work with the project leads and product managers to identify and scope new opportunities for data science projectsDeeply understand our users, our product, and our data to identify opportunities for machine learning, optimization, and causal inference methods to deliver a better customer experience and make our business more efficientBuild data-driven, robust and replicable data science modelsDevelop frameworks for evaluating and monitoring model performanceUse experimentation and causal inference to measure the impact of our models on user engagement and business metricsProductionize and deploy models using cloud-based tech stacks including Snowflake, Databricks, Azure, and Google Cloud.Drive adoption of data products and data science solutions into the product planning process with team leadershipIdentify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data trackingPartner with Analytics team members and other functions to share insights and best practices, ensuring consistency of data-driven decision-making throughout the org
Qualifications
3-5 years of experience in data scienceMS or PhD in operations research, economics, statistics, computer science, or another quantitative fieldHands-on experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problemsExpert programming skills in PythonData querying skills in SQLExperience deploying models in a production environmentExcellent communication and presentation skillsAbility to explain technical concepts in simple terms to business stakeholdersExperience with BI platforms such as Looker, Tableau, PeriscopeDataMove fast, be a team player, always be learning and give back
Benefits
We want to help our employees stay safe and healthy! We offer comprehensive medical, dental, and vision insurance, optional FSAs and HSA plans, 401k, commuter benefits, supplemental employee, spouse and child life insurance to all eligible employees.
We also offer:
-Gopuff employee discount
-Career growth opportunities
-Internal rewards programs
-Annual performance appraisal and bonus
-Equity program
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you’re hearing? Then join us on Team Blue.
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.

    Apply for this job


Data Scientist Forecasting Supply Chain Labor Planning

Back to Careers
Are you passionate about advanced analytics and data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at GoPuff? Come join the GoPuff Data Science team and #ChangeTheGame.
GoPuff is revolutionizing hyper-local e-commerce. We warehouse and deliver thousands of products to your door super fast.
As a Data Scientist on the GoPuff Forecasting and Labor Planning team, you’ll build and deploy models for important use-cases within warehouse and operations - including supply chain planning, operations optimization, and driver resource management. You’ll have the opportunity to make a huge impact on the future success of GoPuff.
We’re looking for a doer, problem solver, and thought-leader.
Responsibilities
Develop high-quality data science solutions for various business needs, including supply chain, operations, delivery planning, Ads planning, finance, etc.Implement code that automatically generates key inputs to operational business processes using machine learning and optimization methods. Examples include building machine learning models that generate forecasts and the creation of innovative optimization methods that produce labor plansCollaborate with our business and engineering partners across the organization to deliver algorithmic solutions for practical business problems. Work with the project leads and product managers to identify and scope new opportunities for data science projects and implement advanced analytics solutions that become essential to our daily business operationsProductionalize and deploy models using cloud-based tech stacks including Snowflake, Databricks, Azure Ecosystems and etc. Drive adoption of data products and data science team solutions into the planning process for investment decisions with finance and the leadership teamsIdentify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data trackingPartner with cross-functional teammates to share insights and best practices, ensuring consistency of data-driven decision-making throughout the org
Qualifications
3-5 years of experience in data scienceMS or PhD in statistics, mathematics, analytics, computer science, engineering or another quantitative fieldHands-on experience applying descriptive statistics, machine learning, optimization, and visualization techniques to solve challenging business problemsExpert programming skills in Python or a general programming languageData querying skills in SQLExperience deploying models in a production environmentExcellent communication and presentation skillsAbility to explain technical concepts in simple terms to business stakeholdersExperience with operations research and working with OR specialists preferredKnowledge of business problems and technical solutions in supply chain and labor planning contexts preferredMove fast, be a team player, always be learning and give back
Benefits
We want to help our employees stay safe and healthy! We offer comprehensive medical, dental, and vision insurance, optional FSAs and HSA plans, 401k, commuter benefits, supplemental employee, spouse and child life insurance to all eligible employees.
We also offer:
-Gopuff employee discount
-Career growth opportunities
-Internal rewards programs
-Annual performance appraisal and bonus
-Equity program
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you’re hearing? Then join us on Team Blue.
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.

    Apply for this job