nathansutton/data-science-job-descriptions huggingface dataset:
Senior Data Scientist Economy Analytics at Reddit

Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
We are looking for a  Senior Data Scientist to work with our Economy team. The Economy team is part of the Special Projects division at Reddit and is among the most innovative and forward-looking teams at the company. Together we’re trying to build an Internet of free, independent communities that are powered by a fun, collaborative economy. Our goal is to find new monetization models that restore the balance of power online, putting it back in the hands of the people. 
As the Senior Data Scientist embedded on the team, you will be essential in helping us dig through the massive amounts of Reddit data and help to build Reddit’s most exciting products with a best-in-class team and a tight-knit customer community.
How You’ll Have Impact:
You’ll be the expert in ensuring we understand what users are doing on the platform and what they would be willing to pay money for. You will help us make the right product decisions based on data insights, play with the massive amounts of data from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there is massive scale and yet there are still a lot of low hanging fruit opportunities that will immediately impact millions of users and make a visible difference in our business KPIs.
What You’ll Learn:
You will work side by side with some of the best Data Scientists in the world, and will have exposure to everything and anything related to our communities at Reddit. You will also have access to one of the coolest data sets in the world (Reddit’s).
What You’ll Do:

Partner with Eng and Product to define and execute roadmap and initiatives
Define team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards
Communicate findings and co-design strategy with the most senior leaders in our organization
Lead proactive exploratory data analysis, distill data insights into strong product recommendations and own the A/B tests in order to ideate new opportunities.

Who You Might Be:

4+ years of experience in Data Science or Analytics function in a tech consumer company 
Proficiency with relational databases (e.g., SQL)
Familiarity with statistical analysis and programming languages preferred (e.g., R / Python)
Ability to tackle ambiguous and undefined problems. Experience with monetizing consumer products or paid digital goods preferred
Demonstrated ability to ideate data research, distill insights into strong product recommendations and lead A/B tests to test the data-led hypotheses
Experience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
Ability to communicate and discuss complex topics with technical and non-technical audiences
Applied Machine Learning Scientist at Chartboost

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 90 billion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

Impact you will make:


Apply, develop, optimize, benchmark and productionize ML approaches to push our AI-driven product forward

Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Stay current on technology trends and developments in the relevant ML areas

Who you are:

PhD (or Msc)  in computer science, machine learning or related fields.
Strong practical experience and knowledge of the mathematical concepts behind algorithms in several of the following areas: supervised learning, reinforcement learning, deep learning, multi-armed bandit, multimodal machine learning, online learning. 
Proficiency in Python and machine learning frameworks such as Pytorch and Tensorflow.
Experience with distributed training and inference pipelines on large datasets.
A willingness to branch out to learn new domains/ approaches and make progress independently. 

Bonus to have:

Experience in the ad tech and/or mobile space.
Hands-on experience in large scale production grade machine learning systems.


Perks:

The opportunity to help continue to build a company with the founding team
Restricted Stock Units (RSUs) - you will have a stake in the future success of Chartboost and Zynga
Comprehensive medical, dental and vision insurance 
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use


More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.
Senior Data Scientist Ads Machine Learning at Reddit

We are looking for a Machine Learning Data Scientist to work within the Ads Data team. You will work closely with engineers and product owners from our Ads team to optimize ads delivery and auction systems. In addition to strong modeling skills, this person has a solid business acumen and understands what is important to advertisers.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:

Build optimization algorithms that improve ad yields and efficiencies. Some of the models we developed over the last year are CPC (cost per click), CPI (cost per install), Generalized pCVR (probability of conversion rate), ALO (Ad Level Optimization) and User Lookalikes. You will not only work on improving existing optimization models, but also develop new models from scratch for a variety of upcoming product launches.
Build and improve Machine Learning algorithms that match ads to the most relevant users. Some of the algorithms/techniques used are Logistic Regression, Gradient Boosted Decision Trees, Random Forests, Hyperparameter tuning, Thompson Sampling, Monte Carlo simulations, Semantic Embedding models etc.
Build a platform for rapid model iteration and feature engineering at scale. Some of our optimization models are iterated on and deployed in production every 2 weeks. 
Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data, along with working on ETLs and data aggregations.
Serve as a thought-partner for product managers, engineering managers and leadership in influencing the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.
Deeply understand ad auctions and how bid densities affect CPMs, CPCs and revenue
Develop familiarity with different types of ads such as managed/reserved, auction, takeover and self-serve; and understand specific interplays amongst those ads.
Work closely with our Sales and Marketing partners so the ads are set up in a way that amplifies the benefits of your optimization models.

What We Can Expect From You:

Bachelor’s degree or above in a quantitative major (e.g., mathematics, statistics, economics, finance, computer science). 
Proficiency in Machine Learning
Proficiency with statistical analysis and programming languages (Python, SQL)
Understanding of experimentation and causal inference analyses
Master’s or PhD degree preferred but not required.
2+ years of experience (for Bachelor’s); 1+ years of experience (for Master’s/Phd) in quantitative/modeling roles, preferably for a consumer-facing service/app
Experience in online advertising is preferred but not required
Data Scientist at Panorama Education

About the RoleAt Panorama, we have a big-picture vision to radically improve student outcomes by helping educators act on data and improve their practice.  Our data science activities run the gamut from data extraction and pipeline engineering to statistical modeling and data visualization. In this role, your primary goal will be to leverage data science to advance critical research and development (R&D) efforts for our products.
Responsibilities:

Compile, clean, manage, analyze, and visualize large, one-of-a-kind educational datasets that include longitudinal, high-frequency data from millions of students, including their academic performance, in-class behavior, school attendance, and social-emotional competencies
Innovate and help engineer data pipelines and infrastructure to enable product development and educational research
Apply traditional and modern statistical techniques to creatively address key questions of practical and theoretical interest, such as the causal impact of educational interventions on student outcomes
Imagine and help implement data-driven products that aid educators to better support students
Collaborate closely with other data scientists, researchers, engineers, designers, and product managers
Concisely summarize extant scholarship and best practices to make that knowledge usable for other team members
Work with colleagues and company leadership to develop our data science strategy, priorities, and practices

Our Ideal Candidate Has:

Has 3+ years of experience as a Data Scientist
Have demonstrable expertise in using data and analytics to reveal insights and improve decision-making
Can manipulate large datasets through parallel computing (e.g. Dask, concurrent.futures in Python, multidplyr in R) and convert them into analyzable formats
Have broad expertise in traditional and modern statistical methods including, for example, regression, multilevel modeling, psychometrics, dimension reduction, clustering, machine learning, and causal inference
Are fluent in one or more relevant programming languages (e.g., Python, R), data manipulation tools within programming language(s) (e.g., Pandas, dplyr) and RDBMSs (e.g, PostgreSQL)
Can program scripts (e.g., for data cleaning) not available in existing packages
Are a team player who thrives in a collaborative, small-team environment
Have formal education or training in data engineering, data science, or statistics
Have prior experience working with software engineers and/or product managers as a data scientist, engineer, or analyst
Bonus: Prior experience working with K-12 educational data or at an ed tech company
Staff Data Scientist Ecosystem Analytics at Reddit

The mission of our newly formed Ecosystem team is to support Reddit’s strategy through the independent evaluation of new initiatives & by being the source of truth of company-level product performance metrics. We are looking for a Staff Data Scientist who would like to join our organization and help build our Ecosystem vertical. If you would like to join a thriving new area that is driving the conversation on the most strategic decisions Reddit will take at the executive level over the next months and years, we have a role for you!
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
How You’ll Have Impact:
You will be the eyes and brain behind getting a foundational understanding of how Reddit works, and the expected impact of various different strategic initiatives. You will steer Reddit’s strategy and guide the company’s investment so we can fulfill our mission of bringing a sense of community and belonging to everybody in the world. 
What You’ll Learn:

You will be exposed to the ins and outs of everything that is happening at Reddit, and as a result will learn about every single strategic area that is being created
You will work directly with senior leadership and every Data Science team embedded across the organization

What You’ll Do:

Lead the definition and reporting of Reddit’s core product metrics across all levels of leadership, including Reddit executives
Create and evangelize the analytical frameworks, metrics strategy and data models to evaluate product/company performance and guide strategic decisions
Leverage your experience in causal inference and analytics to understand the impact of various products, features and launches on Reddit’s core business metrics
Collaborate with your peers across Data Science and Data Platform to guide an overarching data strategy for Reddit, including a plan for robust data validation and data quality
Establish yourself as a leader and mentor within the broader Data organization

Who You Might Be:

8+ years of experience (6+ years of experience with an advanced quantitative degree) in Data Science or Analytics function in a tech consumer company
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Familiarity with causal inference techniques and experimentation
Experience writing ETLs 
Experience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)
Experience with product metrics across different areas, including new metrics definition
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way. 
Experience working with senior cross-functional stakeholders (VP, C-level)
Bonus Points: Experience working with Finance and/or Corporate Strategy teams
Data Scientist Analytics Ads Measurement at Reddit

We are looking for a Data Scientist to work within the Ads Data team and support Marketing Sciences initiatives. You will work closely with engineers and product owners from our Ads and Marketing teams to build measurement solutions for advertisers.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:

Build measurement methodology such as conversion lift studies, brand insights tools, 3rd party integrations with measurement partners.
Build scalable solutions by integrating lift study infrastructure into our in-house experimentation platform.
Investigate discrepancies between 1st party and 3rd party mobile conversion data and identify gaps and product changes to improve our conversion coverage.
Run and evaluate multi-cell experiments against counterfactuals and wrangle with data issues and biases. 
Test out various statistical approaches to deal with data insufficiency and under-powered tests.
Build ETLs and data aggregations to improve our understanding of ad performance and develop best practices for advertisers and account managers.

What We Can Expect From You:

Bachelor’s degree or above in a quantitative major (e.g., mathematics, statistics, computer science)
Proficiency in Statistics
Proficiency with Python programming languages
Knowledge and experience with big data tools (SQL, Big Query, Spark, Hadoop)
Experience with dashboarding tools and data visualization
Experience with workflow scheduling (such as Airflow) and data pipelining 
Familiarity with experimentation and causal inference analyses
Master’s degree preferred but not required
2+ years of experience in analytics roles, preferably in the Ads domain
Principal Data Scientist Us at Andela

What you’ll do:

Understand Andela’s platform, value proposition, and roadmap by working with stakeholders across the entire organization - from commercial leaders, to business operators, to product and engineering teams.
Take ownership of high-visibility projects across the product and engineering organization to help create innovative solutions for a category-defining platform
This role is founded in research and development, so you’ll be tasked with, and have the opportunity to define, unique phenomena that occur at Andela - and will be responsible for informing and guiding technology solutions to drive efficiencies here at scale
Drive a culture of experimentation-driven product development. A/B testing and variance analysis should be core to your skillset
Own the excitement of entropy! Our platform, products, and offerings are constantly changing and expanding. We encourage and enable each individual at Andela to drive a commercial idea when they identify one, which creates an ever-changing data landscape. 

Who you are:

At home in an environment where you are responsible for taking action with stakeholders to drive change!
4+ years experience working in data-driven analytics/predictive analytics/statistical modeling/data mining
Ability to code in Python and write complex, efficient SQL queries to extract data
Experience with A/B testing and ability to run rigorous experiments to come up with scientifically sound recommendations
Good understanding of how to grow and shape data tools and datasets to improve data-driven decision making
Ability to thrive in an unstructured environment, working autonomously on a strong team to find opportunity and deliver business impact

Preferred Qualifications:

Bonus points but not required, having worked on Search ranking, Ad-tech, Supply Chain, Risk or Fraud
Experience building ML models
PhD or MS in computer science, machine learning, statistics, physics
Interesting side projects or Kaggle competition results
Senior Data Scientist at Cometeer

The Team
The Data Team at Cometeer exists to help make decisions data-driven. Data is a horizontal team that serves all business units across the company. Cometeer seeks to be data driven at its core and across all business functions. This is a foundational principle that is shared across founders, leadership, and all parts of the organization. The vision is that Cometeer wins in great part due to its ability to leverage data to drive rather than simply measure strategy and execution. The Data Team exists to execute on this vision.
The Role
We are looking for a detail-oriented and analytical deep-thinker to closely partner with non-technical and technical stakeholders. A successful candidate should have a strong quantitative foundation as well as a demonstrated ability to directly own business outcomes end-to-end. You will be one of the first hires on the Data Team, reporting to the Head of Data. 
What you’ll do: 

Partner with internal teams to leverage data and quantitative methods such as hypothesis testing to enable strategic decision-making and operationalize rapid growth.
Discover, understand, and integrate disparate data sources from every corner of the business, and structure them into clean data models that fuel self-service analytics for internal teams as well as advanced data science.
Partner with the engineering team to shape product roadmap, scoping and improving upstream systems and backend data sources.

What we’re looking for:

You have 5+ years experience in a data science role, using quantitative analysis to solve challenging, real-world problems (background in e-commerce or operations is a plus).
You have a strong quantitative or technical academic background, such as mathematics, computer science, statistics, economics, finance, or physics. 
Expert on running SQL in production: you write complex joins and window functions in your sleep; you're experienced in state of the art tools (e.g., GitHub, Fivetran, dbt); and you spearhead best practices (e.g., data unit tests, historization, snapshotting, etc.)
Experience writing statistical models in Python and/or R (e.g., linear regressions or classifiers).
Experience modeling data into logical objects and relations, with an eye towards broad accessibility across different skill levels, using modern tools such as Looker or Tableau.
Track record of building strong relationships with cross-functional partners and executives at multiple levels of technical proficiency.
Senior Data Scientist Lending at Sofi

The Role
The Lending Business Insights team is seeking a Senior Data Scientist who will help support growth in our Personal Loans, Student Loans, and Mortgage businesses by improving SoFi’s ability to execute with data.  This is an exciting role for someone to leverage their technical skills in Python and SQL to create robust reporting, analytical, and machine learning capabilities in Snowflake with Airflow and dbt.  Success in this role hinges on your technical aptitude and quantitative abilities: you know how to plow through data with dbt, perform analysis in Python with the right levels of abstraction for code reuse, and measure business performance by efficiently calculating key performance indicators.  You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together. 
 
What you’ll do:

Leverage DBT and Airflow to build reporting pipelines in Snowflake
Create abstractions to encapsulate business logic inside Snowflake and outside of BI tools
Build frameworks to ensure consistent reporting of KPIs across platforms
Establish best practices for working with Data Observability tools
Stay on top of new features available in our data stack and understand how to leverage them to improve our existing processes.
Develop processes with cross functional partners to better enable optimizing core product decisions such as funnel conversion, product experimentation, prospect targeting, web page optimization, and unit economics.

What you’ll need:

M.B.A, B.S. or M.S. in Statistics, Economics, Engineering, Computer Science, Mathematics or a related quantitative field is required for this position;
5+ years of experience working in an Analytics or Engineering role in Finance or Tech
Experience with using Airflow and DBT to build Data Pipelines in Snowflake

Strong programming skills in SQL and Python

Experience with building data visualizations with Tableau, Looker or other BI tools
Ability to work in a dynamic, cross-functional environment, with a strong attention to detail;
Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;
Strong relationship building and collaborative skills;
Exceptional problem-solving skills;
Sr Data Scientist Relay at Sofi

The Role
The ECI (Enterprise, Content & Insights) team is seeking a Senior Data Scientist who will lead Data Science for SoFi’s Personal Finance Management (Relay Insights) business.  This is an exciting role for someone to drive customer-centric insights that will make a direct impact on Product, Finance & Marketing strategy.   Success in this role hinges on your technical aptitude, quantitative abilities, collaboration and business acumen: you know how to plow through data in Snowflake with Airflow and DBT, surface deep insights with Statistical and ML techniques, and measure business impact. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together. 
 
What you’ll do:

Drive growth by crafting, analyzing and presenting customer behavior metrics such as funnel conversion, user churn, cross-sell metrics, Life Time Value. Work with teams cross-functionally to design tests to improve these metrics. 
Own end-to-end product analytics workflow including formulating success metrics, processing, cleaning & verifying data integrity, investigating new sources of data to improve insights, and ultimately summarizing and socializing insights with leadership in Relay and across SoFi 
Build models, identify trends and build tools that help decision-makers understand data and more quickly take action 
Build self-service solutions and dashboards to enable others in the organization to leverage your work.
Leverage DBT and Airflow to build reporting pipelines in Snowflake
Proactively develop recommendations for how Relay can use data to solve problems and make decisions
Coordinate with Product & Eng on new feature releases to ensure metrics are accurately tracked and captured towards OKRs

What you’ll need:

4+ years of relevant work experience 
M.B.A, B.S. or M.S. in Statistics, Economics, Engineering, Computer Science, Mathematics or a related quantitative field is required for this position;
Proven track record of end-to-end experience in building analytical frameworks to inform business strategy;
3+ years of experience working in an Analytics role in Finance or Tech
Strong programming skills in SQL, Python, and proficiency in Tableau
Experience with using Airflow and DBT to build Data Pipelines in Snowflake
Ability to work in a dynamic, cross-functional environment, with strong attention to detail;
Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;
Strong relationship-building and collaborative skills;
Exceptional problem-solving skills;
Senior Data Scientist Product Analytics at Atlassian

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
At Atlassian, our mission is to unleash the potential of every team. Every day, millions of people and thousands of teams use our products including Confluence, Trello, Jira Software and Jira Service Management to collaborate. To reach every team, our future growth goals rely on increasing new customer signups and reducing existing customer churn. You will play an important part in achieving that ambition, using data and analytical insight to better understand our customer funnel and purchase journey, identifying new growth levers and informing future product roadmaps.
What you'll do
Use standard and advanced analytics techniques on complex and imperfect data to a high analytical standardBuild trusted relationships across analytics, product and strategy teams.Define analytics project plan and complete it, making tradeoff calls based on capacity, effort required and other prioritiesShape experimentation roadmaps and strategyDesign A/B testsAnalyze new cross-product product features with a growth lensIdentify new opportunities for customer and user growth and retentionTransform business problems into a set of analytics projects using an appropriate technique, and communicate results in a meaningful story with relevant insightsContribute to our team and culture such as contributing to QA reviews, mentorship and brainstorming sessionsBuild stakeholder relationships and understand core problems to direct attention and ensure project align with partner priorities.
Your background
5+ years of experience working in data analysis, statistics or related fieldsExpertise in SQL (or another data query language) to manipulate large and complicated data for custom and ongoing analysesProficiency in at least one visualization tool (e.g. Tableau, Dash) to share insightsProficiency in one of Python or R for data science applications and associated packagesProject management skills, including project plan execution
Senior Data Scientist Customer Analytics Ecosystem at Atlassian

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Atlassian is looking for a Data Scientist to join our Customer Analytics team. We're looking for someone with analytical thinking, who is passionate about building data products from scratch to inspire a massive company transformation.
You will work within our Ecosystem team and will manage our Developer and Partner experience. Our 2nd and 3rd-party developers build apps and integrations that can be found on the Atlassian Marketplace, which recently exceeded 2 billion in sales!
The Customer Analytics team at Atlassian uses insights from user behavioral data to improve the way our customers use our products in their daily work. We are a collaborative team with a high bar of rigorous analyses, and we love to have fun along the way
What you'll do
Work with other product leaders to identify opportunities for analytics, and align analytics and data science priorities with the product roadmapPlay with our large volume of analytics data to understand insightful trends and employ this behavioral data and insights to improve user journeys and customer valuePromote the measurement culture and understand the impact of our product strategy; including designing and analyzing experiments and feature launchesEnvision, scope, and build projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights to different levels of leadership to guide important decisionsFoster a world-class analytics culture, leading by example, through blogging, speaking, and the creation of self-service tools, to make a lasting change in how your partners use data to make decisions
Your background
4+ years of experience applying your analytics skills to projects which have an impact on strategic and product roadmap decisionsExpertise in SQL and proficiency in another data programming language (Python, R, etc.)An Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects)Ability to explain complex concepts to diverse audiences, and creating compelling storiesProject management and prioritization experience; preferably with Data Engineering, Product Management, Research and Engineering teamsExperience using statistics as part of your role (e.g. regressions, A/B tests, forecasting)A degree in a quantitative discipline (e.g. statistics, mathematics, physics, econometrics, or computer science)
Data Scientist Data Analytics Engineering at Atlassian

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Do you have experience examining complex data and turning it into useful information and insights? Do you love finding the next big 'aha' insight which changes the way a business thinks about their customers? Would you like to lead change with global impact at the world's hottest SaaS company?
Atlassian is looking for a data quality expert to join our Marketing Analytics team as a Data Scientist, Data Analytics Engineering. We're looking for someone with business instincts and analytics mastery, who is passionate about applying these skills to lead smarter data decisions and delight our customers. You'll build scalable marketing analytics data products and pipelines. You'll do this by partnering with analytics and data engineering experts to understand the business and data landscape and build a data foundations roadmap.
What you'll do
Manage marketing analytics data product programs and pipelines (such as attribution or paid performance pipeline).Build productized data assets that meet customer needs that are scalable enough to growOversee data requirement gathering (including metrics and definitions alignment), establishing acceptance criteria, QAing, and testing for new products from start to finish to ensure everything is implemented and validated.Prioritize improvements and complete deep dives that build short-term improvements while partnering with broader data engineering team to define long-term road mapEstablish documentation for data product assetsPartner with marketing analytics and data engineering leadership to achieve "the best" data models and productsGuide demos sessions and education roll out for new data products and features to ensure adoption and usage
Your background
3+ years working with data analysis and engineeringAn Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Expertise in data modeling, (e.g. SQL, Python), knowledge of cloud data environments (e.g. AWS), and experience with data ETLs and UAT processesStrength in one or more visualization tools (Tableau, R-Shiny, etc)An understanding of the SaaS development, business model and metricsFamiliarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teamsA degree in a quantitative discipline (e.g. statistics, mathematics, physics, econometrics, or computer science)
Senior Product Data Scientist Enterprise Trust at Atlassian

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Does the challenge of scaling a fast-growing company by empowering it with data and analytical insight excite you? Using your business instincts, analytics mastery and creativity, you will support a market-leading product, from analysis through to action. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this could be a great fit!
You have a proven track record of delivering analyses leading to product or business strategy insights. You develop strong and trusted relationships with product executives and use your communication skills to change the way your partners approach problems, and influence product roadmaps. You are passionately driving your learning and growth in a dynamic, fast-paced environment.
In this role, you will work closely with the Enterprise Trust product management team to ensure our cloud is secure and ready for our enterprise customers. Whether it's SSO, directory syncing, or enhanced security, you'll be focused on supporting a broad portfolio of enterprise administration features and capabilities through their product lifecycle. You will often use imperfect data to influence strategic company decisions under tight timelines. We're looking for someone who is excited about building a strong data foundation with analytical rigor and best practices to make us best of class. This is a role that will stretch you, accelerate your learning curve, and give you the chance to really leave your mark in the history of Atlassian.
On your first day, we'd expect you to have:
Strong sense of accountability, self-drive, and the ability to function independentlyExtensive experience in analytics, statistics or closely related fieldsProficiency in SQL and expertise in Python / RA strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to prioritize your time wisely against multiple competing projects and requestsExperience translating insights into decisions and actions that have a direct business impactExperience instrumenting data and supporting products and/or features through their lifecycle
It's great, but not required, if you have:
Track record of presenting at meet-ups and conferencesMS, MBA or PhD degree in a relevant topic
Principal Data Scientist at Videoamp

We are looking for a Principal Data Scientist passionate about all things Identity. This person has experience in Identity Graphs for Identity Resolution. The role leads methodology development for the entire  Identity Resolution system. 
TECHNOLOGY:

Python, Databricks, Snowflake, Postgres, Parquet, Neo4j
Pytorch, Boosted Trees
AWS, GCP, and On-prem Ecosystem
Kubernetes, Docker

RESPONSIBILITIES:

Partner with leaders, engineers, and data scientists to lead the development of an Identity Resolution system.
Communicate and drive adoption of new tech across our data science and engineering department.
Break down product initiative requirements, identify dependencies and create implementation plans.
Collaborate with product management and engineering leaders to understand requirements and gain alignment on product scope ahead of implementation.
Mentor individuals through detailed feedback during code and architecture reviews.
Mentor data scientists for technical leadership and best practices.
Act as a product expert to answer questions, explain results, and evangelize our products to customers or internal clients. 

QUALIFICATIONS:
5+ years of production experience with:

A scripting language like Python.
Deploying models in a production environment.
Working cross-functionally delivering products to clients. 

2+ years of production experience with:

Deploying Identity Resolution related models.
Writing SQL statements.
Communication with upper management.

Other Qualifications (Prefered but NOT required):

Experience using a graphing database like Neo4j.
Experience specifically with Pyspark and working with large data sets.
Experience handling PII data in compliance environments like CCPA or GDPR





PERKS:

Unlimited paid time off each year
Company sponsored health, dental and vision benefits for you and your dependents
Annual vacation and childcare stipends
Access to state-of-the-art fitness classes and personal trainers to promote your well-being
Partnership with DoorDash for meal deliveries
Employee Advisory Groups / Proactive Social Groups
Pet Funds + Pet Care Savings
401k Plan
Referral Bonus
Progressive approach to paid parental leave
Epic personal and professional growth opportunities









ABOUT
At VideoAmp, we believe in challenging advertising paradigms to maximize value for clients. We do this by enabling companies to execute on business outcomes across their media investment instead of more traditional media metrics. VideoAmp is the software and data solutions company powering the convergence of linear TV and digital video advertising. Our solutions connect linear TV viewership with addressable data assets to benefit the marketing and media industries. This enables marketers and content owners to holistically plan, transact, and measure deduplicated audiences across digital video, OTT, connected and linear TV advertising. Come and join us!Come and Join Us!




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Sr Data Scientist Marketing Analytics at Citizens Bank

Description
Description - External
The Senior Data Scientist will be responsible for supporting a wide range of analytical functions, potentially including but not limited to: data intelligence, analytical insights, machine learning, customer analytics, data management, campaign management,  process improvement, and the development of statistical models, with the intent to optimize business spend & function, identify new opportunities, enhance the customer experience, and provide strategic direction to stakeholders.
This role will serve as the Advanced Analytics / Data Science support for an Agile team within the agile marketing area of the bank. This Senior Data Scientist will report within an Advanced Analytics team to enable collaboration, the sharing of analytical ideas, and the alignment of best practices.
Primary responsibilities include:
Engage with Marketing, Operations, Business Leaders and External Partners to drive industry leading innovations across various Bank products Streamline business processes and programs and develop models/strategies/insights that can lead to a more optimal performance and budgetary spendResearch growing market trends and mine data to develop new insights that can guide the strategic direction of the Citizens Bank lines of businessDocument and communicate analytic insights for both technical and non-technical audiences, often within an Agile working structureFormulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data.Measure, track and report performance of various Marketing Campaigns. This is not limited but includes reporting on marketing KPIs like Cost per acquisition, conversion rates, click rates, website traffic and social media engagement
Our preference would be to have a chosen candidate with onsite capabilities in one of our corporate headquarters, however we are open to remote employment within the United States for the ideal candidate.
Qualifications
Required Skills/Experience:
4+ years of experience in Analytics/Database Marketing/Quantitative Modeling, with experience in Financial Services preferred4+ years of experience in SAS and/or related programming languagesStrong written and verbal communication skills required with an ability to successfully communicate analytic results, business insights and resulting business implications to non-technical business partnersAbility to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology Ability to operate independently, requiring little manager oversightStrong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, SAS, R, Python, Splus, etc.)
Education, Certifications and/or Other Professional Credentials:
Bachelor's Degree in Engineering/Statistics/Mathematics/Physics/Computer Science required, PhD preferred
Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.
Sr Data Scientist Advanced Analytics at Citizens Bank

Description
The Senior Data Scientist will be responsible for developing a wide range of analytical functions, potentially including but not limited to: machine learning, developing statistical models, identifying new opportunities and process improvements, and providing analytical insights and strategic direction to stakeholders, all in service of enhancing the customer experience.
As a Sr. Data Scientist, you will work alongside other Senior and Principal Data Scientists and subject matter experts to collect, organize, and prepare data, and to develop and analyze models, as well as to provide data-driven insights to the Collections and Recovery team.
Primary Responsibilities:
Efficiently develop and implement highly-performant models using a variety of toolsBuild relationships with the business line to access and interpret data sources, and identify process improvement opportunitiesApply appropriate quantitative techniques such as exploratory data analysis, regression analysis, supervised and unsupervised learning, feature engineering, statistical sampling, and data visualizationDocument and communicate analytic insights for both technical and non-technical audiences, often within an Agile frameworkDesign prototypes and perform ad hoc analysis for new analytical outputs like graphs, model scores, etc.Prepare model documentation and respond to effective challenges from model validation, internal audit, and regulatory reviews; oversee the tracking and execution of all external and internal validation findings related to vendor and internally developed modelsSupport ad-hoc requests from the line of business by understanding, communicating, and managing model risks
Qualifications
Required Skills/Experience
4-6 years of work experience in data modeling, statistical analysis, and relevant computing requirementsExperience in producing documentation in a highly regulated environmentStrong experience in Python, R, SQL  to manipulate data and draw insights from large data sets
Strong verbal communication skills required with an ability to successfully communicate analytic results, business insights, and resulting business implications to non-technical business partnersAbility to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, or information technologyExperience working on the Collections model is a plus
Education
Master's Degree or higher in Statistics/Mathematics/Computer Science
Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.