Senior Data Science Manager Pricing Promotions

You have:
Documented experience in pricing optimization and defining pricing strategy through advanced analytics and data science efforts.
Experience in driving customer growth through pricing optimization and experimentation.
Been a leader in multiple tech companies where analytics on top of massive data sets drives product & business decisions.
Previously managed other managers and can oscillate your leadership style relative to the needs of individual contributors that are also on your team.
Exceptional problem solving and analysis skills combined with the ability to synthesize and effectively communicate findings to both technical and non-technical stakeholders.
A product mindset that enables you to get to the root of problems faced by customers and users and to create data solutions and products to solve these challenges.
It would be great if you have experience with:
Cloud platforms: Google Cloud Platform (GCP), AWS

Large-scale data-platform tools:
Data Storage and Access: HDFS, Presto
Data processing/integration: Kafka, Spark
Analytics Datastores: AWS Redshift, GCP BigQuery
Visualization: D3, Mode Analytics, Tableau
Programming languages: Python, Scala
SQL and debugging SQL queries

Analytical techniques:
Background in machine learning including experience implementing models at scale, including in the areas of price elasticity modeling and experimentation
Experimentation: A/B test design and analysis, quasi-experiments
Attribution-modeling
Forecasting

All your information will be kept confidential according to EEO guidelines.
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. And remember, we want to know what you’re really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you’d like in the answers on the next page. 👍 📖
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

#LI-KO3 #LI-REMOTE #LI-AH1


Sr Data Science Manager Core Data Science Build

Sr. Data Science Manager, Core Data Science - Build
  Americas
Data Science & Engineering
Apply now
About Shopify
Opportunity is not evenly distributed. Shopify puts independence
within reach for anyone with a dream to start a business. Since
2006, we’ve grown to over 10,000 employees and generated over $496
billion in sales for 2 million merchants in 175 countries. Every 28
seconds, an entrepreneur on Shopify makes their first sale.
This is life-defining work that directly impacts people’s lives as
much as it transforms your own. This is putting the power of the few
in the hands of the many, is a future with more voices rather than
fewer, and is creating more choices instead of an elite option.
About you
Moving at our pace brings a lot of change, complexity, and
ambiguity—and a little bit of chaos. Shopifolk thrive on that and are
comfortable being uncomfortable. That means Shopify is not the right
place for everyone.
Before you apply, consider if you can:
Care deeply about what you do and about making commerce better for everyone
Excel by seeking professional and personal hypergrowth
Keep up with an unrelenting pace (the week, not the quarter)
Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
Bring critical thought and opinion
Embrace differences and disagreement to get shit done and move forward
Work digital-first for your daily work
About the role
Shopify is like an operating system for a merchant’s business. Like an operating system, it provides a lot of what each merchant needs out of the box, but merchants rely on the ability to customize Shopify to meet their particular needs. Those customizations are built by first and third party developers who make apps, themes, and extensions that virtually every merchant uses to power their business.
The mission of the Build team is to provide tooling, capabilities, and infrastructure to make all commerce developers highly productive and to enable them to solve problems for merchants globally.
We’re looking for a strong leader with a proven ability to partner with and be a part of product leadership teams.The Senior Data Science Manager will own projects whose scope impacts multiple disciplines and domains at Shopify. They are responsible for deliverables that have directional implications on multiple product or service lines in which they operate, and to build a strong data culture around them along with the individuals and leaders that report into them. Specifically, the Senior Data Science Manager will:
Define and guide the short-term and long-term data strategy for Core Data Science - Build
Partner with Engineering, Product, & Design to identify unsolved user and business needs resulting in data powered solutions that scale
Provide technical leadership to our data science teams and lead them as they analyze data, implement statistical techniques, create data visualizations, and build data pipelines (using Python, Spark, SQL, Mode, Tableau...etc)
Cultivate a data-informed culture and deliver meaningful insights that drive product roadmaps and optimize business strategies
Drive excellent practices for establishing metrics & KPIs to drive cross-functional alignment
Collaborate with peer leaders in the product line Data Science team, and the broader Data organization, to improve and drive the group-wide Data Science & Engineering vision
Qualifications
Been a leader in multiple tech companies where analytics on top of massive data sets drives product & business decisions
A demonstrated track record of attracting top data/analytics talent, developing high-performance teams, and a knack for keeping top talent happy, challenged, and impactful
Previously managed other managers and can oscillate your leadership style relative to the needs of individual contributors that are also on your team
Exceptional problem solving and analysis skills combined with the ability to synthesize and effectively communicate findings to both technical and non-technical stakeholders
A product mindset that enables you to get to the root of problems faced by customers and users and to create data solutions and products to solve these challenges
Previous experience with developer ecosystems a plus
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. And remember, we want to know what you're really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
Interested, but not ready to apply? Join the Shopify Talent Community to learn more about us, while you polish up your resume: https://www.shopify.com/careers/teams/engineering
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
The shape of a Shopify career
Ben joined Shopify as a frontline Support Advisor with no
background in programming or computer science. He’s now a
Director of Engineering. Spanning 10 jobs on 7 teams in 9 years,
Ben’s Shopify career path has twisted and turned as he’s worked
relentlessly to pursue a career as an engineer and adapted to
the pace of change—all fuelled by personal and professional
hypergrowth.

Our mission as a company is to spread entrepreneurship and help
individuals become their own bosses and take control over their
lives. I truly believe this mission and value in extreme personal
growth and development extends to what’s expected as a Shopifolk.
Shopify doesn’t like to tell people what to do. Not only is your
career in your own hands, a lot of your day-to-day is too, which
can be jarring for many people. To thrive here, you need to be
someone who’s willing to take big bets on yourself and figure
things out on your own.

              Ben Cox
              Director, Support & CX Engineering

Ben’s growth trajectory
2014-2016
A support advisor for 2 years
Studied dev skills. Learnt about our API. Became first API support person. Found bugs to fix.
Eventually became a software dev
2017-2019
Helped launch first finance product for merchants
Became senior dev and launched new support contact centre
Led a team as a dev manager
2020-2022
Scaled a team from 4 to 60+ as a senior dev manager
 Became Director for Support and CX Engineering
We hire people, not resumes. If you think you’re right for the role, apply now.
Apply now


Senior Data Scientist Revenue

Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Responsibilities:
Proactively identify and champion projects that solve complex problems across multiple domains
Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Apply complex analytics and/or ML techniques with a focus on sales performance optmization.
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas  that support business processes
Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Influence leadership to drive more data-informed decisions
Define and advance best practices within data science and product teams
#LI-DNI


Senior Data Scientist Revenue Acceleration

    Back

Senior Data Scientist - Revenue Acceleration
  Canada
Data Science & Engineering
Apply now
About Shopify
Opportunity is not evenly distributed. Shopify puts independence
within reach for anyone with a dream to start a business. Since
2006, we’ve grown to over 10,000 employees and generated over $496
billion in sales for 2 million merchants in 175 countries. Every 28
seconds, an entrepreneur on Shopify makes their first sale.
This is life-defining work that directly impacts people’s lives as
much as it transforms your own. This is putting the power of the few
in the hands of the many, is a future with more voices rather than
fewer, and is creating more choices instead of an elite option.
About you
Moving at our pace brings a lot of change, complexity, and
ambiguity—and a little bit of chaos. Shopifolk thrive on that and are
comfortable being uncomfortable. That means Shopify is not the right
place for everyone.
Before you apply, consider if you can:
Care deeply about what you do and about making commerce better for everyone
Excel by seeking professional and personal hypergrowth
Keep up with an unrelenting pace (the week, not the quarter)
Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
Bring critical thought and opinion
Embrace differences and disagreement to get shit done and move forward
Work digital-first for your daily work
About the role
The Revenue Acceleration Data Science team drives Shopify’s go-to-market machine with data and insights. The team’s mission is to increase Shopify’s revenue and profitability and the team's impact is grounded in experiment-based findings.
As a Staff Data Scientist, you will use elements of analytics, machine learning, experimentation, and build data products to increase Shopify’s revenue and profitability.
Qualifications
You will need to have:
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
Deep understanding of advanced SQL techniques
Experience designing and running experiments (e.g. A/B test)
Experience building data pipelines and driving ETL design decisions
Experience creating data product strategies, shipping data products, iterating after launch, and trying again
Strong ability to prioritize and communicate to technical and non-technical audiences alike
It would be great if you have:
Experience working with commercial organizations (e.g. Sales, Marketing, Account Management, Support, etc…)
Experience building machine learning models (e.g. propensity models, recommendation system, etc…)
Experience setting up experiments in commercial organizations
Previous experience working at a large technology company
We hire people, not resumes. If you think you’re right for the role, apply now.
All your information will be kept confidential according to EEO guidelines.
The shape of a Shopify career
Ben joined Shopify as a frontline Support Advisor with no
background in programming or computer science. He’s now a
Director of Engineering. Spanning 10 jobs on 7 teams in 9 years,
Ben’s Shopify career path has twisted and turned as he’s worked
relentlessly to pursue a career as an engineer and adapted to
the pace of change—all fuelled by personal and professional
hypergrowth.

Our mission as a company is to spread entrepreneurship and help
individuals become their own bosses and take control over their
lives. I truly believe this mission and value in extreme personal
growth and development extends to what’s expected as a Shopifolk.
Shopify doesn’t like to tell people what to do. Not only is your
career in your own hands, a lot of your day-to-day is too, which
can be jarring for many people. To thrive here, you need to be
someone who’s willing to take big bets on yourself and figure
things out on your own.

              Ben Cox
              Director, Support & CX Engineering

Ben’s growth trajectory
2014-2016
A support advisor for 2 years
Studied dev skills. Learnt about our API. Became first API support person. Found bugs to fix.
Eventually became a software dev
2017-2019
Helped launch first finance product for merchants
Became senior dev and launched new support contact centre
Led a team as a dev manager
2020-2022
Scaled a team from 4 to 60+ as a senior dev manager
 Became Director for Support and CX Engineering
We hire people, not resumes. If you think you’re right for the role, apply now.
Apply now


Senior Applied Scientist

About the role:
The Samsara ML/CV team builds end-to-end machine learning and computer vision solutions for our customers as well as core ML infrastructure for Samsara. As a Senior Applied Scientist, you will be a tech leader and key contributor in building scalable ML infrastructure and tools. You will work closely with scientists as well as full-stack, firmware, and platform teams to deliver core infrastructure, services, and optimizations.
This role can be office-based or fully remote in the US and Canada.

In this role, you will:

Build and improve the accuracy of ML / CV models, including retraining and optimizing open-source models to solve Samsara-specific problems
Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
Research, adapt, and apply cutting edge techniques in CV and deep learning
Optimize models for inference on the backend and/or on edge devices
Partner with our hardware teams to design devices for optimal performance and cost
Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

BS or MS in Computer Science or other technical degree
4+ years experience as an Applied Scientist, Machine Learning Engineer, or similar role
Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python)
Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
Experience deploying and iteratively refining models using customer feedback loops
Comfortable with full-stack / backend development code to build a strong understanding of underlying data structures and other dependencies

An ideal candidate also has:

Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
Experience building, deploying, and optimizing ML models on the edge
Experience building computer vision features
Expertise optimizing distributed model training with GPUs


Data Scientist Engineer

At Kin + Carta, we’ve got opportunities to offer you — for growth, for leadership, for big, world-changing impact and for, dare we say it, fun. We are a global workforce that is committed to building a world that works better for everyone. And that starts with our Kin. That’s why we’re proud of:

The life we create within our virtual walls, every day
Our B Corp certification
Our ranking in Consulting Magazine's 2022 “Best Large Firms to Work For”
The work we’ve done with some of the world’s most innovative companies

The role
Ideal candidates will have strong quantitative backgrounds and analytical discipline. While they will have some demonstrated ability to write code, they will not have learned programming languages for the sake of building their resume, but rather as a means to express their intellectual curiosity and analytical voice. Kin + Carta will provide a platform and training to help them reach their full potential.
Kin + Carta is looking to hire Data Scientists with all levels of experience; junior to senior-level. to join our growing capabilities team. If you are innovative, passionate about data and AI technologies, and look to continually learn and enjoy sharing expertise, read on!
Role responsibilities

Analyze a collection of raw data sets to create meaningful impact to large enterprise clients while maintaining a high degree of scientific rigor and discipline.
Engineer data pipelines and products to help stakeholders make and execute data driven decisions.
Communicate analytical findings in an intuitive and visually compelling way.
Creating highly visual and interactive dashboards via Tableau, PowerBI, or custom web applications
Conducting deep dive analysis and designing KPIs to help guide business decisions and measure success
Engineering data infrastructure, software libraries, and APIs supporting BI and ML data pipelines
Architecting cloud data platform components enabling the above
Building and tracking project timelines, dependences, and risks
Gathering stakeholder requirements and conducting technical due diligence toward designing pragmatic data-driven business solutions

Minimum qualifications
We want all new hires to succeed in their roles at Kin + Carta. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Minimum Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.

Proven industry experience executing data engineering, analytics and/or data science projects or Bachelors/Masters degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science or computation-intensive Sciences and Humanities.
Proficiency (can execute data ingestion to insight) in programmatic languages such as SQL, Python, R

Preferred qualifications

Proficiency in visualization/reporting tools such as Tableau and PowerBI or programmatic visualization library such as R ggplot2, Python matplotlib/seaborn/bokeh, Javascript D3.
Proficiency scripting in UNIX environment
Proficiency in big data environments and tools such as Spark, Hive, Impala, Pig, etc.
Proficiency with cloud architecture components (AWS, Azure, Google)
Proficiency with data pipeline software such as Airflow, Luigi, or Prefect
Ability to turn raw data and ambiguous business questions into distilled findings and recommendations for action
Experience with statistical and machine learning libraries along with the ability to apply them appropriately to business problems
Proficiency in front and back-end web application development stacks and frameworks (Javascript, HTML, CSS, React/Vue/AngularJS) including API design (REST/GraphQL) and library development
Experience leading and managing technical data/analytics/machine learning projects

About Kin + Carta
Kin + Carta is a global digital transformation consultancy committed to working alongside our clients to build a world that works better #ForEveryone. Our 2,000 curious minds make creative connections between people, data and technology to create connected outcomes across the full lifecycle of the product and platform ecosystems.
We’re makers, builders and creators by nature, and we come to work every day to build experiences for some of the world’s most influential companies. We help businesses accelerate their digital roadmap, rapidly innovate, modernize their systems, enable their teams and optimize for continued growth.
We are a technology business with trust and human connection at its heart. As a Certified B Corp, our triple bottom line focus on people, the planet and profit is at the core of everything we do.
We welcome our Kin to show up as their authentic selves every day. Because this is so important to us, Kin + Carta is proud to be an equal opportunity employer. To read further about our commitment to Inclusion, Diversity, Equity and Awareness, check out the IDEA page on our website.
If you need accommodations at any point in the application or interview process, please let us know.


Data Scientist

About Zignal Labs

Zignal was founded in 2011 to help customers instantly see conversations and stories taking place across media. Originally conceived as a tool for political campaigns accustomed to media “war room,” Zignal now helps private and public sector organizations visualize and contextualize the global digital media environment to solve some of the world’s most challenging problems.

Trusted by top global news outlets such as The New York Times and The Wall Street Journal, Zignal is frequently called upon by academic institutions and the media to provide data-driven insight into some of the most important and nuanced emerging issues of societal concern - including the COVID pandemic, dis- and misinformation, consumer safety, political polarization, healthcare, digital security, and risk management.

Fully remote, with Silicon Valley roots and team members in over 20 states, Zignal serves customers around the world. Learn more at zignallabs.com.

As a Data Scientist, in our Data Science and Innovation Labs team, you will work on data analytics and machine learning projects and will be involved in solutions from ideation through research and prototyping up to feature delivery including data quality measurements and improvements. You will rely on your Scala and Python coding skills to analyze a large amount of media data and build machine learning models and solutions. You will use Spark with Databricks, the AWS stack, including SageMaker with Ground Truth and S3, Elasticsearch, Neo4j, among your machine learning and NLP skills and apply them to several social media, news, blogs, broadcast, and other media sources to empower our users with key insights based on real-time analysis.

In this role, you will have the opportunity to:

Work as a member of our small, smart, and very nice Data Science Team.
Work closely with the Product Management Team and have direct impact on our product decisions.
Mine and analyze media data from various data sources to create and improve analytical insights, product-, and application features.
Play a key role throughout the whole feature life cycle starting with ideation, through PoC prototyping towards feature delivery, followed by continuous quality monitoring and improvements

In order to be successful in this you will need:

Masters degree in Computer Science, Mathematics or equivalent field with minimum 5 years of full-time work experience as a Data Scientist - or Bachelors degree with 8+ years of relevant experience
Strong problem-solving skills with an emphasis on product development
Excellent written and verbal communication skills for coordinating across teams
A commitment and passion to learn and master new technologies and techniques
Experience with a variety of machine learning techniques (feature extraction, clustering algorithms, classification, ensemble methods, neural networks, etc.) and their advantages/drawbacks
Coding knowledge and experience with several languages: Scala and/or Python
Experience with efficiently measuring the quality of solutions and suggest improvements
Experience with Spark, or at least one distributed data processing tools like: Hadoop, Hive, etc.
Familiarity with data quality measurement techniques, and processes

Plusses:

Advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Natural language processing techniques: parts of speech tagging, shallow parsing, constituency, and dependency parsing, named entity recognition, emotion and sentiment analysis
Computer vision and image analysis techniques
Graph analytics, large-scale graph algorithms

Why join Zignal Labs?
- Competitive salary based on the work you do
- Flexible time off – work with your manager to take the time you need
- Excellent medical, dental, and vision coverage
- Paid parental leave plan
- Professional development and growth programs
- A tight knit, collaborative, and transparent environment to help you succeed

Zignal Labs is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

 Applicants must be authorized to work in the United States for any employer. No sponsorship is available for this position.


Data Scientist Marketing

#TeamNextdoor

Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.
Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 300,000 neighborhoods across 11 countries.
Meet Your Future Neighbors
At Nextdoor, our Growth Marketing team is charged with driving member growth and revenues from businesses advertising on the platform. This team has a Marketing Science function which utilizes the analytical horsepower of data science focused purely on new customer growth on the platform. We are looking for a data scientist to grow the team and increase our ability to support the optimization of growth marketing decisions.
Think of the role as a full-stack marketing data science, using data to inform and guide marketing decisions.  You will be responsible for the design and execution of best practices with regards to experimentation for email campaigns including selection, measurement and reporting of results to influence next steps. Engage in discovery work to identify opportunities to change the what/when/how of our current programs.
The role requires a strong mix of technical and statistical skills with the ability to collaborate cross-functionally with stakeholders including but not limited to finance, data science, marketing. Familiarity with campaign management and marketing will be helpful.
The Impact You’ll Make
You will have an opportunity to work in a growth focused organization and make a huge impact by optimizing how we communicate to a high volume of people. Your work will come to life through strategic/analytical thinking, operational excellence and creatively solving complex business problems. We will want you to want to own analytical projects end-to-end, taking an ambiguous problem and forming a structured opinion. Defining success metrics that capture performance and identify actionable insights
Your responsibilities will include:

Developing actionable segmentation
Best-practise experimentation to give us reliable insight
Establish a shared vision with cross functional teams to develop/optimize/deploy new strategies including MarTech, marketing managers and wider data science teams
Campaign management
Identify where we can invest in 3rd party data to enrich our decision making capabilities
Build out required performance measurement tools and dashboards
Educate stakeholders by explaining the “Why” behind the “What”

 What You’ll Bring To The Team

2+ years of expertise in quantitative analysis, ability to tell a story backed by data using data mining methods

2+ years of experience using in-depth applied statistics and analytical experience in partnership with Marketing teams to optimize decision making

Demonstrating proactivity in identifying better ways of working and can recommend actionable solutions
Ability to pull together your own datasets with strong SQL skills and knowledge of analytical programming languages including R or Python to conduct statistical analysis
Familiarity with experiment design and A/B test analysis including measurement selection
Can communicate effectively with a range of stakeholders
Curiosity for discovery and creativity in solving complex challenges

Bonus Points

Experience building predictive models using machine learning algorithms
Familiarity with marketing in the B2B space
Experience with complex attribution solutions
Worked with data vendors to enrich data
Knowledge of online advertising and ad tech space; robust understanding of online advertising best practices

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.
Rewards
Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.
The starting salary for this role is expected to range from $90,000 to $170,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.
Importantly, the compensation for this role also includes a variable incentive component, which will vary depending on your achievement of sales-related goals and objectives.
We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.
Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.
We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.
At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.
#LI-Remote


Senior Data Scientist Optimization

Want a meaningful career where you can make a difference? Edward Jones sounds perfect for you.
Collaboration. Autonomy. Opportunity. Words our headquarters associates use when talking about working at Edward Jones. Words that describe what it’s like being part of a firm where everyone is aligned toward a singular focus: serving the client. And everyone is working to make the firm better together – as they grow as individuals. If these words resonate with you, we should talk.
Job Overview
Skills/Requirements
Awards & Accolades
About Us
Position Schedule: Full-Time
If you thrive in a collaborative environment, have a learning mindset, and can communicate complex ideas in a straightforward way, this could be the role for you to make a real impact.
Join the Firm Analytics team and help us unlock the power of data science to solve a wide range of business challenges and improve the people-experience through data-driven capabilities and insights. As a Senior Data Scientist focused on optimization, you’ll work closely with business partners to learn about financial...
Read More About Job Overview


Business Intelligence Architect

About Us:
Cityblock Health is the first tech-driven provider for communities with complex needs—bringing better care to where it’s needed most, block by block. Founded in 2017 on the premise that “health is local” and based in Brooklyn, we are backed by Alphabet’s Sidewalk Labs along with some of the top healthcare investors in the country.
Our mission is to improve the health of underserved communities. Importantly, our solutions are designed specifically for Medicaid and lower-income Medicare beneficiaries, and we meet our members where they are, bringing care into the home and neighborhoods through our community-based care teams and Virtual Care offerings.
In close collaboration with community-based organizations, local providers, and leading health plans, we are reorganizing the health system to focus on what matters to our members. Equipped with world-class, custom care delivery technology, we deliver personalized primary care, behavioral health, and social services to deliver a radically better experience of care for every member and community we serve.
Over the next year, we’ll grow quickly to bring better care to many more members and their communities. To do this, we need people who, like us, believe that everyone should have good care for what matters to them, in their community.
Our work is grounded in a belief in the power of a diverse community. To close gaps in care and advance equity in the communities we serve, we have to start with making our own team diverse and inclusive. Our ways of working are characterized by creativity, collaboration, and mutual learning that comes from bringing together a community from diverse backgrounds and perspectives. We strive to ensure that every person on the Cityblock team, and every Cityblock member, feels supported and included as a part of our community.
Our Values:

Aim for Understanding
Be All In
Bring Your Whole Self
Lean Into Discomfort
Put Members First

About the Role:
Cityblock’s Business Intelligence team is on a mission to enable data-driven decision making across the Organization. This role will be at the forefront of this initiative, by implementing greater governance over our business intelligence platform. You will design and develop the platform, helping us effectively and rapidly scale to meet company goals, as well as partner with internal stakeholders to derive insights from the data.
Healthcare data is complicated, so you must be excited about digging deep into complex data, and coming up with interesting, actionable insights to communicate to the team. Behind every data element is a real person, with real problems that Cityblock is working hard to address, and the Data team is responsible for delivering accurate and timely information to steer these efforts.
If you like hard problems, have experience pulling insight out of complex structured and unstructured data sources, and are an amazing teammate, we want to hear from you!
Requirements for the Role:

Bachelor's degree in quantitative disciplines such as Economics, Mathematics, Computer Science, or Business  Master’s degree strongly preferred.
You have 5+ years experience in business intelligence; designing end to end BI solutions, with an emphasis on data modeling, semantic layer design and also developing metrics, dashboards and strong technical documentation
You have rock solid data architecture and design skills including dimensional modeling for BI
You are an expert SQL programmer, with experience navigating complex data landscapes, profiling and cleaning messy data at scale
You have extensive experience leading data and requirements conversations then translating business concepts into scalable data models
You have  a deep understanding of query and analytics tools, and are knowledgeable in advanced data analysis techniques such as  predictive modeling and machine learning
Possession of strong analytical/statistical skills used in evaluating and analyzing data
You have the ability to balance competing priorities and set expectations with colleagues and stakeholders in a fast-paced environment
You have deep experience with healthcare data (eg claims, EHR, HIE feeds, etc) and standard clinical metrics and taxonomies (DRGs, total cost of care, HCC, etc)
Are detail-oriented and organized, but able to see the big picture and the bottom line
Experience developing and maintaining metrics and dashboards using BI tools like Looker/Tableau/PowerBI
Adapt easily and quickly  to changing business priorities and technologies

What We’d Like From You:

A resume and/or LinkedIn profile
A short cover letter, please!

Cityblock values diversity as a core tenet of the work we do and the populations we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.
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We do not accept unsolicited resumes from outside recruiters/placement agencies. Cityblock will not pay fees associated with resumes presented through unsolicited means.
We take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for: health insurance, life insurance, retirement benefits, participation in the company’s equity program, paid time off, including vacation and sick leave. The expected salary range for this position is $121,303.00 to $155,317.24. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, skillset, and geographic location.


Senior Data Scientist Nlp Cto

With unmatched technology and category-defining innovation, Icertis pushes the boundaries of what’s possible with contract lifecycle management (CLM). The AI-powered, analyst-validated Icertis Contract Intelligence (ICI) platform turns contracts from static documents into strategic advantage by structuring and connecting the critical contract information that defines how an organization runs. Today, the world’s most iconic brands and disruptive innovators trust Icertis to fully realize the intent of their combined 7.5 million+ contracts worth more than $1 trillion, in 40+ languages and 90+ countries.

Who we are:  Icertis is the only contract intelligence platform companies trust to keep them out in front, now and in the future. Our unwavering commitment to contract intelligence is grounded in our FORTE values—Fairness, Openness, Respect, Teamwork and Execution—which guide all our interactions with employees, customers, partners and stakeholders. Because in our mission to be the contract intelligence platform of the world, we believe how we get there is as important as the destination

The Senior Data Scientist is a detail oriented forward-thinking individual who will utilize data mining, data analysis, machine learning and natural language processing to bring innovation and differentiated capabilities to the Icertis Contract Intelligence. You will be at ease with contemporary machine learning, natural language processing frameworks and quantitative approaches and will be able to critically evaluate and design, build, and support pipelines that can analyze contract document collections at scale.

Responsibilities

Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
Own the end-end process, from recognizing the problem to implementing the solution.
The ability to read a paper and implement the ideas proposed therein.
Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques to the specific business problem and then build the models that solve the problem.
Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.

 Skills and Qualifications:

14+ years of experience.
An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
Experience with text mining, parsing, and classification using state-of-the-art techniques.
Experience with information retrieval, Natural Language Processing, Natural Language. Understanding and Neural Language Modeling.
Ability to evaluate quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, Gensim, etc.
Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
Ability to perform high-level work both independently and collaboratively as a project member or lead on multiple projects.

Icertis, Inc. provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, color, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Icertis, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to careers@icertis.com or get in touch with your recruiter.

By submitting your application you acknowledge that you have read Icertis’s Privacy Policy (https://www.icertis.com/privacy-statement/)

Icertis is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.


Lead 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 five 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 7 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 Lead Data Scientist interested in solving one of the world's biggest problems: financial inclusion. As a Data Scientist you will lead predictive machine learning and causal inference based initiatives that drive improvements in customer experience, operational efficiency, and recovery. You will own the modeling cycle through design, prototyping, development, deployment, and after-sale monitoring, with keen focus on business outcomes and stakeholder management. As a tech lead you will orchestrate the business’s most complex and impactful machine learning and causal inference solutions that require multi-person teams to build and operate. You will deliver external communications via blog posts, conference proceedings, publications, and talks.

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 and causal inference products from ideation and training through deployment into our production environment – including real-time inference – and after sales service. Obsess over delivered products, iterating rapidly if necessary.
Become a multiplier for data science team by sharing work, mentoring junior team members, providing technical feedback, scoping work, 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:

6+ years of experience in a data science role or equivalent position.
2+ years in a tech lead position leading the execution of end to end machine learning and causal inference solutions for business stakeholders.
Fluency with Python and packages related to machine learning and causal inference.
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.
Sophisticated interpersonal, planning, and communication skills.

Preferred Skills & Experience:

Experience deploying real-time model inference/scoring systems.
Strong desire to become a better software developer.

We strive to provide Talazens and their loved ones with a holistic benefit experience! We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

Competitive compensation programs with stock/equity program
Flexible work environments and Hybrid/Remote-first work model
Medical (HMO, PPO, HSA), Dental PPO, Vision, FSA, DC FSA
Employer paid Life w AD&D, Short Term and Long Term Disability
401k and Roth 401k
Voluntary benefits like critical illness, accident, life, and pet insurance
Employee Assistance Program
Paid Holidays, Unlimited PTO, Wellness/rest “sloth days”, Paid Parental leave, Birthday Holiday, Life Event Days off, paid sabbatical after 5 years of service, and more
Health and Wellness events and seminars

Salary Range: $185,000- $235,000

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.


Sr Applied Data Scientist Media Mix

What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
Job Description
Are you interested in using data science to solve new and challenging problems in innovative ways — like helping a media conglomerate measure the impact of their marketing and advertising campaigns to optimize investments across a wide range of media channels? Civis Analytics is looking for a Sr. Applied Data Scientist to join our commercial Applied Data Science (ADS) practice and help us solve some of the most challenging and interesting questions facing Media businesses today.
The Applied Data Science team is the advisory arm of Civis Analytics, working closely with organizations to help solve their toughest challenges with data science. Our Media sector practice provides data science solutions for media conglomerates, nonprofits, and advocacy groups seeking to leverage media-mix-modeling to reach their target audiences in the most effective way.
Responsibilities

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

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

As part of the Media sector practice:

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

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

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

Other job responsibilities include:

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

Qualifications

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

Preferred Qualifications

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

Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?

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

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

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


Director Data Science And Machine Learning

MedArrive is a fast-paced and fast-growing start up on a simple mission: Improving people's lives by bringing more humanity to healthcare. Our enemy is an often soulless, transactional healthcare system that’s increasingly engineering the vital human touch away from the experience - and often hard to access.
We are looking for a seasoned data scientist to catalyze a data-driven product and service culture at MedArrive.
As our Director of Data Science and Machine Learning, you will own the data and analytics substrate that forms the intelligence layer powering our entire platform. You will do so balancing the need to set up a framework that scales to our future ambitions while meeting our more immediate market and customer needs. Reporting to the CTO, you will be responsible for  nurturing and building out a high performing remote data science and machine learning function, including data, ML, and analytics engineers as well as data scientists. You will work with amazing colleagues, brainstorm new ideas, and develop data processing techniques, models,  algorithms and visualizations to solve challenging problems and communicate insights that have a substantial impact.
Our goal is to create a platform and eventual marketplace for in-home medical support in a complex, multi-stakeholder industry. Our platform and apps are deployed in AWS, with our data infrastructure largely built out of DataBricks using Scala, PySpark, and Python. Our intelligence layer - an extension of our data infrastructure - leverages both predictive and prescriptive analytics techniques to orchestrate actions across patient journeys and applications. Our end-users are internal Cx & Clinical staff, consumers/patients, field providers (EMTs, Paramedics, etc.) and staff at healthcare organizations (hospitals, health plans).

What you'll do:

Ongoing stewardship of MedArrive’s Technology Strategy and Plans

Partner with the rest of the platform leadership team to ensure the overall technology roadmap and backlog supports business direction and priorities.
Forge the long term vision and direction for the MedArrive Intelligence Layer (underlying data, analytics & services that power the platform)
Own planning, design and execution to keep moving forward towards a scalable data & analytics platform and efficient data pipelines in MedArrive’s AWS Footprint.

Drive strong execution against roadmap

Partner with leaders and stakeholders across the business to investigate, prioritize, and deliver impactful data products, machine learning models, and analyses.
Develop, collect and maintain structured and unstructured data sets for analysis and reporting. As needed, Identify and apply methods to acquire, explore, cleanse, and fuse data from different sources.
Continually monitor and adjust as needed to balance between long term and near term needs, tech debt and new capabilities, while inspiring the team to bring their best selves to and be engaged in their work at MedArrive.
As needed, directly handle high-impact projects.
Understand and manage stakeholder expectations within the team and across the organization

Solidify and scale the MedArrive Data Science & Engineering Culture and Practice:

Manage the development lifecycle, using data to drive continuous improvements, with a strong focus on meeting the team’s commitments given evolving business priorities and market/ customer needs.
Lead definition and implementation of competency definitions at every level, and align with recruiting initiatives.
Drive ongoing improvement in functional excellence and best practices (design sessions, code reviews, automation, etc.)
Above all, lead the team responsible for this Platform, evolving it into a high-performing team of Data Scientists & Machine Learning Engineers over time.

What you'll need:

7+ years of hands-on experience in a Data Science/Engineering or Analytics role at commercial technology or technology-enabled services companies.
Bachelor’s Degree in Mathematics, Computer Science, Economics (or related field)
Demonstrated expertise with data science methods, multivariate statistical modeling, neural network architectures, machine learning algorithms and production level programming principles. Experience crafting, conducting, analyzing, and interpreting experiments and investigations.
Demonstrated ability to apply programming skills to data acquisition, preprocessing, modeling and monitoring as well as proficiency with common data science/analytics software languages  & tools (e.g. Python, SQL) and cloud computing platforms (e.g. Amazon Web Services).
Ability to distill data-driven insights through informative visualizations & analytical communications
Preferred qualifications:

5+ years experience working with healthcare data in enterprise/ consumer space.
Experience in building, training, scoring, tuning and maintaining predictive models in production at enterprise scale.
Advanced quantitative degree (Statistics, Mathematics, Economics, Data Science, Computer Science or related field)
Proficiency and extensive experience with DataBricks
Proficiency with data visualization tools (D3.js, R Shiny, Looker, Tableau or similar).
Extensive experience working with healthcare data (Claims, Clinical, etc.)
Experience with libraries such as Pytorch, TensorFlow and Keras
Experience working with large datasets (Hadoop/Spark preferred)

More about us
MedArrive exists to expand access to care, drive efficiency, and reduce healthcare expenses. We enable healthcare payers and providers to seamlessly extend care services into the home, unlocking access to high-quality healthcare for more people at a fraction of the cost.
Our logistics and care management platform allows providers and payers to bridge the virtual care gap, integrating physician-led telemedicine with in-person care from EMS professionals, Nurses, Community Health Workers, Phlebotomists, and more. As a result, patients can access trusted medical expertise from their homes' comfort and safety without interruption to the continuity of care, ultimately resulting in better patient outcomes, a better-utilized healthcare workforce, and significant cost savings for patients and providers alike.
MedArrive has more than 50k highly-skilled "Field Providers'' including EMS professionals in its national network, and services span dozens of clinical use cases, including complex condition monitoring, transitional care and readmission prevention, vaccinations and immunizations, medication administration and much more.
MedArrive is a proud Equal Opportunity Employer – we recruit, train, compensate and promote our team members based on qualifications. We know how important it is not only to include, but to actively seek out a diversity of opinions and voices.
We want to hear from you regardless of your race, religion, national origin, sex, gender identity, sexual orientation, disability, age, veteran status, or any other applicable legally protected characteristics.
For candidates living in Colorado and/or New York, the expected total compensation (includes base salary, bonus and equity)  is $190,000 - $300,000 range , depending on a variety of non-discriminatory factors, including qualifications, experience, and geographic location.


Senior Data Scientist

Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. As an almost 20+ year old FinTech company that has gone from start-up to industry leader, we know how to innovate, simplify, and value all people. We are a company founded on our grit and we are constantly looking to the future. As an ever-evolving group of entrepreneurs and technologists, we strive to do the right thing period in all aspects of our work. We are a subsidiary of PROG Holdings (NYSE:PRG), an exciting FinTech holding company, with three business segments including Progressive Leasing, Vive Financial, and Four, a Buy Now Pay Later (BNPL) platform.
We are currently hiring a Senior Data Scientist to help grow our company and ensure our mission is achieved!
This role is a work from home position and can be performed remotely anywhere in the continental US or in one of our corporate locations in Utah or Arizona.
WE ARE: A team of hungry entrepreneurs with big dreams, gritty FinTech experts, passionate about disrupting big markets, joined on a mission to modernize and accelerate our technical environment. We like to move quickly, break things, make mistakes, and get better every day, as long as we are continuously delivering.
YOU ARE: A driven analytics professional. As a Senior Data Scientist, you will blend analytics, data mining, machine learning, and software engineering to build solutions that will result in massive improvements to the way we do business. You will be responsible for developing and improving key decision systems and predictive models to drive maximum business impact. You will develop a profound understanding of our customers, business processes, products, and financials by studying the data that describe each of these elements of our business. You will be at the forefront of this rapidly evolving field and have the opportunity to develop your own tools and technologies as you do. Most importantly, you’ll be part of a team that forms the backbone of a fast-growing company at the forefront of an exciting, growing industry.

YOUR DAY-TO-DAY:
Work with a team of Data Scientists and Data Analysts to deliver innovative enhancements to a portfolio of products with high impact both to the company’s financial success and to the lives of our customersBuild, maintain, and improve decision systems and predictive models that are key to Progressive Leasing’s competitive advantageExplore new data sources both internal and external to Progressive and use findings to further improve and optimize model performanceDesign, implement, and read in-market experiments testing new algorithms, technologies, and processes to better serve our customer and stay ahead of the competitionRecommend and support strategic business changes through rigorous analytics, deep understanding of the business, and creative problem solvingIdentify, evaluate, and help implement emerging advanced analytics technologies and methodsBe part of a collegial, fast-growing team of like-minded data scientists who work and play together, and who love what they do and where they do it!
YOU'LL BRING:
Master’s degree in a quantitative or technical field (Math, Statistics, Engineering, Economics, Physics, Computer Science, etc.)3+ years work experience with data exploration and machine learning tools such as those found in R or Python3+ years work experience applying advanced statistical modeling techniques to solve problemsAbility to craft rigorous research / evaluation design approaches, based upon understanding of clients' research needsDemonstrated ability applying advanced statistical modeling techniques to solve problemsAbility to craft rigorous research / evaluation design approaches, based upon understanding of clients' research needsTrack record of achieving business results through creative problem solving and careful implementation
YOU MIGHT ALSO HAVE:
Advanced knowledge and experience with querying languages (SQL, etc.)Understanding of modern software development and engineering practices including scrum/agile, Git, and DevOps
WE OFFER:
Competitive Compensation; Eligible for STI + LTIFull Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental LeaveCompany Matched 401kPaid Time Off + Paid Holidays + Paid Volunteer TimeDiversity Alliance Resource GroupsEmployee Stock Purchase ProgramTuition ReimbursementCharitable Gift Matching Job Required Equipment & Services Will Be Provided
Progressive Leasing welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Progressive Leasing does business.


Associate Data Scientist

Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. As an almost 20+ year old FinTech company that has gone from start-up to industry leader, we know how to innovate, simplify, and value all people. We are a company founded on our grit and we are constantly looking to the future. As an ever-evolving group of entrepreneurs and technologists, we strive to do the right thing period in all aspects of our work. We are a subsidiary of PROG Holdings (NYSE:PRG), an exciting FinTech holding company, with three business segments including Progressive, Vive Financial, and Four, a Buy Now Pay Later (BNPL) platform.
We are currently hiring an Associate Data Scientist to help grow our company and ensure our mission is achieved!
This role is a work from home position and can be performed remotely anywhere in the continental US or in one of our corporate locations in Utah or Arizona.
WE ARE: A team of hungry entrepreneurs with big dreams, gritty FinTech experts, passionate about disrupting big markets, joined on a mission to modernize and accelerate our technical environment. We like to move quickly, break things, make mistakes, and get better every day, as long as we are continuously delivering.
YOU ARE: A driven analytics professional. As an Associate Data Scientist, you will blend analytics, data mining, machine learning, and software engineering to build solutions that will result in massive improvements to the way we do business. You will be responsible for developing and improving key decision systems and predictive models to drive maximum business impact. You will develop a profound understanding of our customers, business processes, products, and financials by studying the data that describe each of these elements of our business. You will be at the forefront of this rapidly evolving field and have the opportunity to develop your own tools and technologies as you do. Most importantly, you’ll be part of a team that forms the backbone of a fast-growing company at the forefront of an exciting, growing industry.
YOUR DAY-TO-DAY:
Build, maintain, and improve decision systems and predictive models that are key to Progressive Leasing’s competitive advantageExplore new data sources both internal and external to Progressive and use findings to further improve and optimize model performanceDesign, implement, and read in-market experiments testing new algorithms, technologies, and processes to better serve our customer and stay ahead of the competitionPrototype solutions to business problems using cutting edge technologies like Shiny to drive immediate business impactsRecommend and support strategic business changes through rigorous analytics, deep understanding of the business, and creative problem solvingIdentify, evaluate, and help implement emerging advanced analytics technologies and methodsBe part of a collegial, fast-growing team of like-minded data scientists who work and play together, and who love what they do and where they do it!
YOU’LL BRING:
Bachelor’s degree in a quantitative or technical field (Math, Statistics, Engineering, Economics, Physics, Computer Science, etc.)Strong analytical problem-solving abilityExperience with data exploration and statistical tools such as those found in R or PythonDemonstrated ability applying advanced statistical modeling techniques to solve problemsAbility to craft rigorous research / evaluation design approaches, based upon understanding of clients' research needsTrack record of achieving business results through creative problem solving and careful implementationAbility to travel ~10% of the time
YOU MIGHT ALSO HAVE:
Advanced knowledge and experience with querying languages (SQL, etc.)Understanding of modern software development and engineering practices including scrum/agile, Git, and DevOps
WE OFFER:
Competitive CompensationOpportunity to advance on the data science and/or leadership trackFull Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental LeaveCompany Matched 401kPaid Time Off + Paid Holidays + Paid Volunteer HoursEmployee Resource Groups (Black Inclusion Group, Women in Leadership, PRIDE, Adelante)Employee Stock Purchase ProgramTuition ReimbursementCharitable Gift MatchingJob required equipment and services
Progressive Leasing welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Progressive Leasing does business.


Senior Data Scientist Decision Engine

We are looking for a Data Scientist to build out our pricing, forecasting, and advertising algorithms that allow Perch to grow our brands at scale. Sitting within our Decision Engine team, the ideal candidate will have 2+ years of data science experience working on causal inference, classification, or time series prediction problems, and has worked in a production environment workflow. The person filling this role should have strong analytical skills and business acumen to advance our strategic thinking beyond just building machine learning models.
Responsibilities

Use observational data and generate experimental data to estimate pricing and advertising lever impact on demand.
Develop models to predict elasticities for new products, channels, and markets.
Work closely with Growth team product managers, engineers, and data analysts to carefully curate high dimension time series data sets that unlock new insights.
Consult with other analysts within the Growth team to aid in improved causal inference and in identifying opportunities for data science solutions.
Build the engine that surfaces causal and demand estimates to marketing, supply chain, and business leaders to improve the business response to changes in market demand.
Evangelize rigorous data driven decision making across Perch to elevate the business.
Develop deep expertise in the inputs that feed pricing logic and identify opportunities to improve accuracy.

About You
You have a B.S. in a quantitative field from a top rated program. Building optimization solutions, data pipelines, and analyses in python comes as second nature. You are thrilled to engage in brainstorming of economic hypotheses and can’t wait to dive into the data to validate or invalidate your ideas. You recognize the pursuit of better and cleaner data never ends, but brings great value to your work. Most importantly, you seek to innovate, to do what has not been done, and to measure what has not been measured.
About Us
Perch is one of the fastest growing eCommerce companies in Boston. Perch acquires and develops great ecommerce brands. We are backed by amazing investors (SoftBank, Spark Capital, Tectonic Ventures, and Boston Seed). Our team has deep expertise in ecommerce, technology, and M&A. We are disrupting one of the largest and most exciting spaces of ecommerce and are building an industry-shaping platform. Our aim is to have a workplace and company that positively impacts the lives of others, including our employees, their families, the entrepreneurs and vendors we work with, and our end customers.
Perch is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.


Energy Data Scientist

EnergyHub is working to enable a carbon-free, distributed energy future by seamlessly integrating enormous numbers of energy devices with the electric power grid. Our platform coordinates and collects terabytes of data from what will soon be more than 1,000,000 distributed energy devices like thermostats, electric vehicles and batteries.
Coordinating all of these devices to forecast and deliver grid services for the electricity industry requires state-of-the-art data science, control systems and machine learning. As such, EnergyHub seeks to hire an Energy Data Scientist to join EnergyHub’s Data Science and Power Systems Intelligence team. As an Energy Data Scientist you will work closely with some of the brightest minds in the electricity industry to solve some of the most difficult problems in distributed energy. The algorithms and data management software systems that you contribute to will become core to the foundation of a future with carbon-free and distributed energy.
Main Responsibilities

Drive the development of algorithms and software tools for enabling advanced grid services from fleets of distributed energy resources
Write production-level code, prototype new data products, and apply machine learning algorithms to energy IoT data
Work to translate data from one of the largest distributed energy datasets in the electricity industry into actionable insights for electric utilities and other energy industry stakeholders
Work closely with stakeholders inside and outside of EnergyHub including Data Engineering, Client Success, Marketing, Sales, Product, and Market Development teams

Key Skills and Experience

A passion for enabling a carbon-free, distributed energy future
Ability to find valuable insights in large, complex datasets
Experience with Python and the scientific stack (pandas, numpy, scipy)
A practical understanding of basic machine learning algorithms and are familiar with popular software packages such as Sklearn and Tensorflow
Ability to explain results from large-scale data analyses to diverse audiences in a way that is clear, interesting and actionable
You have fun working on really hard problems with really smart people

Preferred Skills and Experience

Power systems expertise, including three-phase distribution network modeling
Experience developing control and optimization solutions for distributed energy resource problems
Experience with scaling data science products in the cloud (e.g., Databricks, AWS, GCP, Azure)
A strong background in mathematics and statistics
Experience bringing long-term research projects, such as an MS or PhD thesis, to a successful conclusion

The salary range for this position is $120,000 - $150,000. Base pay offered may vary depending on job-related knowledge, skills and experience.
Why work for EnergyHub?

Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.
Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team!
Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
Work with the latest technologies: You’ll gain exposure to a broad spectrum of IoT, SaaS and machine learning challenges, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.
Focus on fun: EnergyHub places high value on our team culture. Happy hours and holiday parties are important to us, but what’s also important is how our employees feel every single day.

Company Information
EnergyHub is a growing enterprise software company that works with the most forward-thinking companies in smart energy. Our platform lets consumers turn their smart thermostats, electric cars, water heaters, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power. We work on technology that already provides energy and cost savings to millions of people through partnerships with the leading companies in the Internet of Things.
Company Benefits
EnergyHub offers a generous benefits package including 100% paid medical for employees and a 401(k) with employer match. We offer a casual environment, the flexibility to set your own schedule, a fully stocked fridge and pantry, free Citi Bike membership, secure bike rack, gym subsidy, paid parental leave, and an education assistance program.
EnergyHub is an Equal Opportunity Employer
In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information.  We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.


Data Scientist Forecasting Us

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees bring deep expertise in Data Science, Machine Learning, and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   We are looking for a robust Data Scientist with a statistics and economics background who can work on banking deposit products and forecast fund Flows in and out of the bank on a monthly/quarterly/yearly basis, given the frequently changing Fed rates.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.   Master’s or Ph.D. in Statistics, Economics, Data Science, Computer Science, or a related field. At least 5+ years of extensive Time-Series Forecasting and Modeling experience – apply seasonality adjustments, incorporate exogenous variables, etc. Strong statistics foundation and knowledge of statistical packages in any coding language (preferably SAS or Python).Economics background – should know how to work with macroeconomic data/variables in Time-Series forecasting.Ability to use Marketing data as input to time-series models.Hands-on experience building models is a must.Data Visualization in Tableau (design, develop, publish, and automate Tableau dashboards).Proficiency with Python and SQL and ability to write complex SQL queries.Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Applied Data Scientist Senior

Amperity is more than just the leading customer data platform — THE PEOPLE bring energy, smarts, and experience from all different backgrounds, reflecting our commitment to diversity, equity, and inclusion. THE TECHNOLOGY is multi-patented, AI-powered customer data management software that we invented to help solve problems that have been frustrating consumer brands for years. THE OPPORTUNITY is to hitch your career to a rocket ship. We're addressing a critical market need: helping hundreds of leading brands make sense of massive amounts of transactional and engagement data so that they can understand their customers and provide experiences that delight while boosting the consumers and move the business metrics that matter. Come help us make it happen!
Interesting Problems
The Data Science team identifies, designs and implements algorithms that lie at the heart of Amperity's products. We focus on a few areas:

Identity matching: deduplicate and cluster billions of records to their underlying identities daily. Our customers use our predictions to create a personalized experience for their customers at every touchpoint.
Predictive scoring: With unified and enriched customer profiles (thanks to our entity matching algorithms), we build advanced customer-centric models to predict metrics/behaviors such as customer lifetime value, customer churn, product recommendations, and event propensity.
Causal Research: Causal inference helps marketers and analysts understand the impact and causality of marketing outreach. Our product should not only let them create campaigns and run experiments, but also learn the causal impacts of previous actions and provide optimization recommendations to achieve desirable outcomes more effectively in the future.

In addition to algorithmic development, we value sharing our findings with the broader data science community. We publish our research findings in top-tier peer-reviewed publications, engage with fellow data scientists by speaking at internal and external conferences, and also hold several patents focused on our core IP.
About You
We are looking for a versatile data science leader who can go deep to obtain useful insights for our customers (and help others learn to do the same). We are a team that moves quickly and relies on each other to think independently and solve hard problems. If you are passionate about developing applied data science methodologies to help the world's most loved brands use their data to better serve their customers, and you are looking for a fun place to work, you should apply!
Qualifications:

Undergraduate degree in a quantitative discipline (e.g. statistics, mathematics, operations research, or computer science)
3+ years of Machine Learning modeling experience in a product company.
Experience in deploying and managing ML models at scale in production at scale
Familiarity with a broad set of supervised and unsupervised ML approaches and techniques, ranging from Regression to Deep Neural Networks.
Experience applying ML-based solutions to complex problems in business, science, or engineering.
Proficiency in model development, model validation and model implementation.
Fluency in more than one programming language such as Python, Scala, Java, etc.
Experience with common data science toolkits such as Scikit-Learn, Spark ML.
Proficiency in using query languages such as SQL.
Familiarity with data structures, algorithms, distributed computing (e.g. Spark, Map-Reduce, Presto), and cloud storage systems
Knowledge in at least one of these areas: data integration and cleaning, entity matching, probabilistic databases, predictive analytics for marketing, or causal inference.
Experience with fast prototyping - quickly translating business problems into data modeling problems, collecting and analyzing datasets, and building ML prototypes before implementing in production.
Summarize complex ideas for both technical and non-technical audiences. Good communication skills in conducting code reviews, writing technical documentation, and giving internal and external presentations.

Compensation
Base Salary:  $185,000 - $225,000 This range reflects the good-faith hiring base salary range for this position. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, internal equity, as well as candidate qualifications such as skills, experience, and education/training.
Stock Options: The opportunity for ownership is an exciting part of Amperity's total compensation package. Every employee at Amperity receives a new-hire equity grant, commensurate with the scope of their position.
Benefits
We offer all the benefits you'd expect from a great place to work: 100% employee healthcare coverage, transportation subsidies, a comfortable work environment with plenty of snacks, and other employee experience perks like events and activities, both in-person and remote. We also offer self-managed PTO and the flexibility to do your best work in the way that works for you. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world-class people driving for excellence.
Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.


Data Scientist

About the Role:
We are looking for analytics professionals to join our Vendr Data Science and Analytics team.  Our responsibilities include driving operational performance through KPIs and dashboards, as well as developing visualizations which offer relevant insights both within the Vendr products and for marketing and public relations.  Data is central to Vendr’s success and your role will be directly relevant to the company value proposition.
You are someone who is self-taught, passionate about getting the right answer, and has experience with data: diving in, testing hypotheses, developing visualizations, and telling relevant stories.  You enjoy sharing these insights with others in the organization, and look to be challenged and grow by engaging in a small team of data professionals who are each on their own growth journey.  We operate without significant silos and boundaries, and expect you to participate with flexibility and openness as part of a team which values teamwork and takes pride in individual mastery.  You will be expected to develop your own positions and approaches and bring to the team recommendations on how to proceed with your work.

Responsibilities:

Use data to drive operational improvements including development of KPIs, targets, dashboards, and visualizations which can complement lean operational processes and improve throughput time and client value.
Develop visualizations usable in product to facilitate operational teams and customer self-service
Support client data requests meticulously and efficiently while proactively developing systems and tools to minimize ad hoc requests
Drive self-service of data by developing data sources, enhancing data dictionaries and other contextual information, and organizing data sources and dashboards to guide users to relevant tools.
Training clients and new team members in data exploration, visualization and dashboard development.
Conducting analytical exercises required to support clients and stakeholders requiring customized solutions.
Consult and develop concepts with operational stakeholders and product teams.
Develop and maintain business operating dashboards and metrics.
Identify, validate and integrate new data sources which enhance business value.
Contribute to a culture of data quality, reliability and relevance.
Review SaaS tools which can extend the team’s capabilities.
Protect customer data proactively.
Participate in team activities ranging from daily standups to roadmaps, prioritization, timelines, skill development, and occasional meetups.

Requirements:

2+ years experience in data analysis, statistics, or quantitative applications and development
Quantitative and analytical skills exhibited through ability to dive deeply into data and discover patterns and relationships not captured by statistical summaries
SQL
Experience with python or r, visualization tools, and statistics
Problem solving skills
Enthusiasm about the hard work required to broaden your technical skill set (pandas, sklearn, visualization tools), your operational skill set (agile and lean), your knowledge of SaaS (Vendr’s domain), your business and economics skills, and your interpersonal skills

Preferred:

Academic degree in statistics, mathematics, economics, social sciences, engineering, operations research, computer science or related field

Python or R expertise

SQL expertise

Data modeling experience
Dbt experience
Tableau and/or Looker experience
Visualization - not just “how to” but also “best practice”
Statistics (esp. Bayesian statistics)
Machine learning models
Forecasting models (such as Prophet)
AB Testing
Open source development
Excel (Google sheets) pivot tables
Business acumen
Economics and finance
Stakeholder management and client communication
Passion for learning
Self-directedness

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