Senior Data Scientist Toronto

Senior Data Scientist - Toronto (Remote)

Duration: Permanent
Location:  Toronto
Start: ASAP

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

Who You Are:

We are looking for a Senior Data Scientist to develop and build search, personalization and recommendation solutions.
Using your deep machine learning expertise while considering the broader business context, you will develop industry-leading recommendations in visual search.
This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics.

Your Next Challenge:

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

What You’ll Need:

Confirmed expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products
A minimum of 3 years validated experience
Proven expertise providing mentorship and guidance to team members.
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
Ability to handle ambiguity, priorities, and contending objectives. Experience solving highly technical problems
Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
Outstanding communication skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
You are clear, credible, and forward-thinking!
A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any other equivalent quantitative field is preferred

Mental and Physical Demands:

Frequent communication with others to exchange information.
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary.
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc.
Frequent repetition of motions and gestures that may include the wrists, hands and/or fingers. (Required)

Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy.

Benefits at Getty Images

Extended Health Insurance

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

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

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

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

Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.

__________________________

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

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

Who We Are:
For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.

Help us move the world with images!
Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.

Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.

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

Leadership Principles

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


Data Scientist

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

Research real-time new fraud patterns with our Risk Intelligence team
Improve the important components of the Signifyd Commerce Protection Platform
Communicate complex ideas to a variety of audiences
Build production machine learning models that identify fraud
Write production and offline analytical code in Python
Work with distributed data pipelines
Collaborate with engineering teams to strengthen our machine learning pipeline

Past experience you'll need:

A degree in computer science or a comparable analytical field
2+ years of post-undergrad work experience required
Use visualizations to communicate analytical results to members outside your team
Hands-on statistical analysis with a solid fundamental understanding
Write code and review others' in a shared codebase, preferably in Python
Practical SQL knowledge
Design experiments and collect data
Familiarity with the Linux command line

Bonus points if you have:

Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code
A Master's Degree or PhD

#LI-Remote
(Colorado only*) Minimum salary of $95,000 + bonus + equity + benefits.

Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired into our offices in Colorado.

Benefits in the USA:

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


Principal Data Scientist

Company Overview
Cohere Health is illuminating healthcare for patients, their doctors, and all those who are important in a patient’s healthcare experience, both in and out of the doctors office.  Founded in August, 2019, we are obsessed with eliminating wasteful friction patients and doctors experience in areas that have nothing to do with health and treatment, particularly for diagnoses that require expensive procedures or medications.  To that end, we build software that is expressly designed to ensure the appropriate plan of care is understood and expeditiously approved, so that patients and doctors can focus on health, rather than payment or administrative hassles.
Opportunity overview
We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems.
As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization.
What you will do:

Provides thought leadership & strategic thinking to translate business problems into analytical frameworks, and independently recommend actions and provide business insights
Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations
Establishes and maintains effective performance tracking; identifies improvement opportunities, form hypotheses, propose, design and implement tests to drive strategy enhancement and optimization
Oversee multiple projects at any given time, utilizing different analytical skill sets where applicable
Develop and execute advanced analytics with scalable and reusable codebase and models that solve business problems
Present information using data visualization techniques and propose solutions and strategies to business challenges

What you bring:

5+ years analytical experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization
Analytics expert with experience collaborating with business functions to deliver solutions that support decision making
Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, and data analytics
Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations
Experience with programming languages (Python, R, PySpark, Scala and/or Spark SQL)
Familiar with healthcare data such as EMR data, Claims and SDOH data
Advance degree (MS or Ph.D.) in a quantitative field, Statistics, Math, Economics, Engineering, Computer Science, Business Analytics, Data Science.

What you bring bonus edition:

Experience with Amazon AWS cloud platform
Experience with ElasticSearch
Experience with graph database

#LI-Remote
#BI-Remote


Data Scientist

Opportunity overview
We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems.
As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization.
What you will do:

Play a key role in gathering business requirements, using them for product analysis and uncovering actionable insights, and writing technical requirements; using a variety of analytic tools
Perform in-depth analysis of healthcare data coupled with data from product and other sources to independently design, develop, and deliver analytic deliverables that meet quality, cost and service objectives
Leveraging data from various sources, e.g., eligibility, medical, pharmacy claims, and data submitted by providers via the prior authorization process, working with Clinical Programs to analyze and simulate expected impact and ROI, e.g., medical expense, administrative cost, improved quality and outcomes
Present information using data visualization techniques and propose solutions and strategies to business challenges

What you bring:

3+ years analytical experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization
Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, and data analytics
Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations
Experience with programming languages (Python, R, PySpark, Scala and/or Spark SQL)
Strong interest and understanding of EMR data, Claims and SDOH data
Experience with data visualization tools such as Tableau and  Kibana, preferred
Bachelor’s or Master’s degree in STEM, public health, biostatistics, economics, or other related field

What you bring bonus edition:

Experience with Amazon AWS cloud platform
Experience with ElasticSearch
Experience with graph database

#LI-Remote
#BI-Remote


Actuarial Analyst

Company Overview
Cohere Health is illuminating healthcare for patients, their doctors, and all those who are important in a patient’s healthcare experience, both in and out of the doctors office.  Founded in August, 2019, we are obsessed with eliminating wasteful friction patients and doctors experience in areas that have nothing to do with health and treatment, particularly for diagnoses that require expensive procedures or medications.  To that end, we build software that is expressly designed to ensure the appropriate plan of care is understood and expeditiously approved, so that patients and doctors can focus on health, rather than payment or administrative hassles.
Opportunity overview
Cohere’s Clinical Programs arm of the Clinical Content team is responsible for identifying clinical programs to drive adherence to Cohere’s Care Paths (i.e. our model for ensuring provider decisions are aligned with standards of care and that drive optimal outcomes for every patient). When these programs are implemented successfully, we are able to improve patient experience, clinical quality, provider experience, and achieve the value objectives expected of our clients.
The Actuarial Analyst will be working closely with Cohere’s Director of Clinical Programs and Quality Analytics and the analytics team and responsible for rapid-cycle monitoring and evaluating the impact of Cohere’s products, services and clinical programs on medical cost trend and quality of care. These rapid-cycle analyses should generate early and ongoing indication of whether Cohere is on the right track about meeting the targets we commit to our clients, and identify opportunities for course correction when meeting the targets is at risk.
At a growing organization, this is a position that offers the ability to make a substantive mark on the company and its partners with exponential growth opportunity.
What you will do:

Quickly understand Cohere’s products, services and clinical programs and how Cohere’s x-functional collaboration and workflow intersect with healthcare providers’ workflow and patients’ care journey.
Leveraging data from various sources, e.g., medical claims and data submitted by providers via the prior authorization process, working with Directors of Clinical Programs to analyze and simulate expected impact and ROI, e.g., saved medical cost, saved administrative cost and improved quality and patient outcomes, for proposed clinical programs and interventions to inform strategic planning.
Work with peer actuary analysts to maintain, update and QC models to monitor and track outcome and trend.
Work with Directors of Clinical Programs to design and conduct the impact evaluation analysis, including appropriately identifying intervention and comparison cohorts, baseline/benchmarks, unit of measurement (e.g., by procedure or diagnosis or diagnosis groups/care paths) and analytic approaches (e.g., pre- and post-, quasi-experimental design, difference in differences). The design should include sensitivity analyses and alternative definitions of key terms (e.g., comparison cohort and baseline periods) to account for confounding factors for true Cohere impact.
Collaborate with the analytics team and leverage Cohere data models and data infrastructures to create appropriate analytic files to support impact simulation and impact evaluation
Maintain documentation of methodology of trend analysis/impact evaluation analysis and coding/programs of all analytic file building and actuarial analysis and models so they are ready to quickly scale to multiple programs and interventions across types of services, care paths/diagnosis groups and lines of business (e.g., Medicare Advantage, commercial Medicaid).
Specific routine deliverables include but not limited to:

Daily, weekly, and monthly reporting cadence ensures prior authorization requests match expected utilization
Identifying and investigating abnormal leading indicators for trend, intervening and deploying programs to curtail
Reconciling and comparing impact of interventions and auth data with actual results showing up in claims

Your background & requirements:

Passionate about improving the U.S. healthcare system and helping ensure every patient receives the best care possible.
Self-starter, able to work independently, able to succeed in a fast-paced, high intensity start-up environment
2-3 years of professional experience in an actuarial analytics role within healthcare (payer, provider, consulting), with demonstrated analytical skills with build new predictive models and analytic solutions using tools such as GLM, logistic regression and decision trees
Advanced knowledge of observational data analyses with large data including medical claims, pharmacy, and eligibility data
Minimum 2 years of experience using Base SAS, SAS/Macros, and SQL or R, Python or equivalent statistical and analytical softwares
Bachelor’s Degree in Math, Statistics, Biostatistics, Actuarial Science, or Economics required. Advanced degree preferred
Successful completion of at least 2 or more SOA Actuarial exams, ASA preferred.

Please Note: We offer a continuing education program for all Actuarial Analysts.
This program includes:

Bonus and salary increase upon successful completion of your ASA or FSA
Reimbursements for required books
Company paid annual licensing fees
Flexible PTO policy for your exams

We can’t wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.
#LI-Remote
#BI-Remote


Engineering Manager Data Science And Machine Learning

The Financial Products team owns two of the most important areas with respect to a retailer’s online operations: payments and risk. Bolt strives to work with all credit card payment processors and Alternate Payment Methods (APMs) offering our end customers the greatest variety of choice in determining how they want to pay. For our retailers, our risk product gives them confidence we are approving the most amount of orders while keeping the fraudulent chargeback rate down.

The Risk team specifically identifies and stops fraudsters, enabling merchants to rest assured when accepting online payments.
Check out our Engineering Blog!
Responsibilities:

Manage an 8-10 person cross-functional engineering team
Own roadmaps, prioritization, technical architecture and day to day technical oversight for their team
Own the hiring plan, collaborate with recruiting on executing on it, assess and close candidates
Coaching engineers on your team to help them grow personally and professionally
Build relationships with stakeholders across the organization to index for greatest impact

Requirements:

BA/BS in a technical field. Computer Science or Computer Engineering is a plus
1+ years as a manager of engineering team(s)
6+ years experience as an individual contributor on an engineering team
Prior experience managing engineers at Venture backed or large scale tech firm
Experience working with teams split across several sites is a plus


Data Scientist

The Data Platform team works closely with all teams and cross-functional partners (including product, engineering, and data analysts) to build a foundational data stack powering business analytics.
We are looking for someone to play a mission-critical role in designing and building the data mining algorithms, and data analytics pipelines at Bolt. We’re looking for someone with the experience, creativity, and passion for producing world-class technology who can support our product, leadership and marketing teams with insights gained from analyzing our data. Other teams at Bolt, other companies, and consumers alike will rely heavily on what you build, and you’ll have a ton of trust and responsibility. If challenges excite you, and you’re ready for a large one, let us know.
Check out our Engineering Blog!
Responsibilities

Build production ready data mining and big data analytics algorithms and pipelines; your models will be the engine that powers all online commerce through Bolt
Conduct data analysis to determine which policies we adopt and help inform strategic growth
Build statistical models, data pipelines, data mining, data analytics, and production ready services to serve offline and live traffic
Work with other teams at Bolt to engineer data models and extract data insights that help improve Bolt business

About you

Passion to improve e-commerce businesses
Strong communication skills in a cross-functional team
Unrelenting focus on impact
Ability to formulate business problems into quantitative objectives and developing methodological solutions

Requirements

MS/PhD in math, statistics, computer science, or other quantitative field
3+ years of experience in developing ML/statistical models in an applied setting
Knowledge of statistical concepts and techniques such as statistical inference, causal inference, or predictive modeling
Knowledge of data mining, and big data analytics techniques
Experience with big data processing pipelines and orchestration tools
Mastery in SQL or other big data processing languages
Experience with one of the programming languages such as Python, R, Java, Scala

Preferred

Experience with big data technologies such as BigQuery, Spark, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda


Quantitative Researcher Python

Empower the Individual Through Crypto
Gemini is a crypto exchange and custodian that allows customers to buy, sell, store, and earn more than 30 cryptocurrencies like bitcoin, bitcoin cash, ether, litecoin, and Zcash. Gemini is a New York trust company that is subject to the capital reserve requirements, cybersecurity requirements, and banking compliance standards set forth by the New York State Department of Financial Services and the New York Banking Law. Gemini was founded in 2014 by twin brothers Cameron and Tyler Winklevoss to empower the individual through crypto.
Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we want to help you buy, sell, and store your bitcoin and cryptocurrency. Crypto is not just a technology, it's a movement.
At Gemini, our mission is to empower the individual and that includes giving our employees flexibility of choice — our Office Optional Policy allows employees to choose to work from one of our physical locations or from home.
Select roles that are location-specific will still be eligible for flexible schedules.
The Department: Data
Data is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the analysts, scientists, and engineers that make up the Data team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including product strategy, user acquisition and journey, cryptocurrency performance and project development, and crypto’s position as a technology, industry, and asset class within the context of the global financial markets at large.
The Role: Quantitative Researcher (Python)
We are growing the Data Science team and AI stack at Gemini. We are looking for quantitative researchers and machine learning engineers who are interested in solving diverse and complex business problems. You will leverage your experience and communication skills to work across business teams to build and develop innovative quantitative models and algorithms.
Responsibilities:

Develop core algorithms and models leading directly to better risk, trading, lending and investment decisions
Be able to distill complex models and analysis into compelling insights for our stakeholders and executives
Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
Develop new tools and solutions to enable stakeholders to consume and understand data more intuitively
Stay up-to-date with data science tools and methodologies in technology and financial domain
Knowledge of probability and statistics, including time series, predictive modeling, optimization, and causal inference. Experience in design and deployment of real-world, large-scale, user-facing systems
Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful

Qualifications:

Masters or PhD(preferred) in Statistics, Applied Math, Computer Science, Financial Engineering or related fields
Expertise utilizing high frequency data for analyzing market impact, market making, transaction cost analysis and/or price prediction
Expertise in quantitative research, portfolio management, risk management and/or trading
2+ years of experience deploying statistical, time series and/or machine learning models in production
2+ years of experience in integrating quantitative models into applications
Skilled in programming languages like Python, Java/C++/C# and SQL
Sound knowledge in dealing with large data sets for analytical approach and quantitative methods
Ability to analyze a wide variety of data: structured and unstructured, observational and experimental, to drive system designs and product implementations
Experience with one or more big data tools and technologies like Snowflake, Databricks, S3, Hadoop, Spark
Strong technical and business communication
Good to haves: Deep Learning, NLP and exposure to crypto

It Pays to Work Here
We take a holistic approach to compensation at Gemini, which includes:

Competitive Compensation and Profit-Sharing Equity
Flexible vacation policy
Retirement Plan Matching
Generous Parental leave
Comprehensive health plans
Training and professional development

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace and affirmative action employer. If you have a specific need that requires accommodation, please let a member of the People Team know.
#LI-CM1
#LI-REMOTE


Data Science Manager Healthline

What You'll Do
Lead a small data science team by defining technology strategy, creating and managing a project portfolio, tracking data science KPIs and driving daily execution to achieve desired business outcomes.
Collaborate effectively with other functions to set team priorities, influence work approaches and solve operational/organization challenges.
You will be a key contributor of the overall technology and organizational strategy for the data science function across the Red Ventures organization.
Act as a player-coach to understand business strategy and identify innovative data science opportunities that can lead to significant business impact.
Develop a team of varied levels of seniority and expertise through direct leadership, training, and feedback.
Drive projects forwards with high efficiency and effectiveness.
Foresee technical, business and execution risks in projects and strategically make decisions to mitigate them.
Bring relevant state-of-the-art data science technologies to the team and lead by example to establish best practices
What We're Looking For
4+ years of relevant professional experience with a MS or PhD degree in STEM with specialization in machine learning, statistical modeling and optimization.
2+ years of relevant experience managing a team of data scientists.
Proficient at collecting and mining data from disparate data sources, and willing to dig deeper and understand the process that creates the data.
Excellent written and verbal communication skills, particularly when there is ambiguity involved.
Capable of translating business opportunities into data science problems and defining the right project scope and performance metric to measure success.
Must be comfortable with unstructured, fast moving and constantly evolving high growth environment.
Applied experience with machine learning on large datasets.
Hands on experience with each part of the data science toolkit, including statistical analyses, hypothesis testing, and data cleaning/feature engineering.
Experience building predictive models inside a statistical computing environment (e.g., R, Python, Sklearn, SPSS, Matlab, Octave)
Programming experience in one or more of the following: Java, Scala, Python, C/C++
Experience with distributed computing: Hive/Hadoop, Spark
Proficiency in deploying data science solutions in a live, production environment, especially in near real-time settings (ex: models embedded into a REST API)
Knowledge and experience in digital marketing and e-commerce a plus
COVID-19 Update:

Unless otherwise prohibited by law, if a candidate is successful and a conditional job offer is made, the candidate then will be required to submit proof of vaccination against COVID-19.  Requests for reasonable accommodations on the basis of disability or religious belief will be considered on an individualized basis.

"Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by Red Ventures, subject to eligibility requirements."

Starting Salary: $150,000 - $240,000 *Note actual salary is based on geographic location, qualifications and experience
Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program

A Red Ventures Brand
Over the last twenty years, Red Ventures has built a portfolio of influential brands, digital platforms, and strategic partnerships that work together to connect millions of people with expert advice. Through premium content and personalized digital experiences, Red Ventures builds online journeys that make it easier for people to make important decisions about their homes, health, travel, finances, education and entertainment. Founded in 2000, Red Ventures has 3,000 employees in 10 cities across the US, as well as in the UK and Brazil. Red Ventures owns and operates several large digital brands including Healthline, The Points Guy, Bankrate, MYMOVE, and Allconnect.com.
For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.


Senior Data Scientist Machine Learning Computer Vision

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.Are you excited about solving real-world computer vision problems that involve millions of smart cameras from mobile devices? Are you interested in developing and advancing state-of-the-art computer vision and deep learning algorithms? This team is responsible for building large scale machine learning models for 2D/3D scene understanding, object detection, and activity recognition (e.g. delivery detection).Key Responsibilities: Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. 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 solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Research and develop analysis methods that extend the Media Analysis Framework, including video/image/audio processing and machine learning methods, to extract meaning and produce timestamped metadata from video content. Develop and test software components that implement your analysis methods for integration into production systems. Work closely with other researchers and engineers to fit components into well-established workflows and systems.  Lead research in one or more of the following areas: Deep Learning, Computer Vision, and Video Analytics.  Work with other Technical Leads, Product Managers and Business Partners to lead development of prototypes that demonstrate Research work, help with Product Discovery and integrate research output into engineering code base. Work with other researchers, engineers, product managers, and business partners to rapidly prototype algorithms for proof-of-concept demonstrations. Collaborate closely with team members within and outside of research to advance the capabilities of the MAF system and to further the team’s collective knowledge. Keeps track of developments in field both in academia and in industry. Attending relevant conferences and publishing research results is encouraged.  Use data science and machine learning methods to bootstrap new functionalities. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements.  Master’s degree in computer science, computer engineering, electrical engineering, mathematics, or a related technical discipline; PhD degree or equivalent industry experience is preferred. 4+ years of Data Science and Machine Learning experience required. Strong programming and software development skills, and familiarity with Python, and deep learning frameworks (Keras, Tensorflow, PyTorch, Caffe).  Practical and educational experience in machine learning and computer vision is expected. Experience with nearest neighbor search, vector databases, image matching, and image retrieval is strongly desired.   Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets. Experience with AWS is a plus. Exceptional communication and collaboration skills to understand business partner needs and deliver solutions. Bias for action, with the ability to deliver outstanding results through task prioritization and time management. Experience in signal processing, video encoding and analysis, and/or deep learning isalso beneficial. Familiarity and experience with image processing and deep learning frameworks and tools, such as OpenCV, Keras, TensorFlow, PyTorch, or Caffe, is a plus. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Data Scientist Bfs

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.   As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. 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 solutioning. 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 that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists.  Stay connected with external sources of ideas through conferences and community engagements  Bachelors Degree in Data Science, Computer Science, or related field Experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics is a plus.  4+ years of Data Science and Machine Learning experience required Proficiency in Python or R. Ability to write complex SQL queries Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets.  Ability to implement ML best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.) Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools — Tableau, Power BI, etc. preferred This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Data Scientist

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.   As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.Key Responsibilities Collaborate with business partners to develop innovative solutions utilizing cutting-edge techniques and tools.  Effectively communicate the analytics approach and how it will address thes trategic objectives to our business partners.  Advocate and educate for the value of data-driven decision making; focus on the “how" and "why” of solutioning.  Lead analytical approaches - integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community ;identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate and learn with a growing team of experienced Data Scientists. Stay connected with the broader Data Science community through conferences and external engagements.  Masters Degree in Data Science, Computer Science, or related field 2+ years of Data Science and Machine Learning experience required Proficiency in Pyspark, Python or R and ability to write complex SQL queries  Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Ability to implement Machine Learning best practices for the entire DataScience lifecycle Ability to apply various analytical models to business use cases (NLP,Supervised, Un-Supervised, Neural Nets, etc.)  Experience with data visualization tools — Tableau, Power BI, etc. a plus Exceptional communication, collaboration, and time management skills andthe ability to understand stakeholder 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.#LI-remote


Data Scientist

At MissionWired, we help clients create revolutionary digital strategies that advance their mission, change our country, and have a positive impact on the world.

We’re digital-obsessed, tech-savvy do-gooders who care deeply about social change. We’ve brought digital strategies to life for nonprofit organizations working around the world, including Save the Children, Sandy Hook Promise, and Friends of the Earth, as well as progressive political organizations, campaigns and candidates. This cycle, we're excited to support the DGA in flipping and protecting governorships across the country while expanding the Democratic majority in the Senate via our work with the DSCC, Sen. Raphael Warnock, Rep. Val Demings, Sen. Catherine Cortez Masto and Sen. Maggie Hassan.

We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin.

We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community.

Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible.

Overview: We are looking for a data scientist to join us in bringing machine learning to online fundraising through our AdvantageAI product. The models you create will improve the lives of people throughout the world by empowering digital donors and activists to support our mission-driven clients. You’ll be driving positive change as part of a team of data scientists and engineers developing first-of-their-kind machine-learning products.

You’ll join an data science team that is deeply devoted to inclusion, particularly in the following three areas:

Process: We create a context in which everyone is empowered to contribute.
Machine Learning: We are committed to identifying and removing bias from our algorithms.
Philanthropy: We empower diverse groups of individuals to participate in giving.

With us, you’ll put your skills to use for innovation that powers social good. We want your ideas and your leadership. Join us. Let’s go.

You will be responsible for:

Developing and enhancing the core models that power the AdvantageAI platform, supporting digital donor acquisition and UX optimization;
Designing experiments to determine how to maximize client goals, such as philanthropic donation or email activation;
Supporting the development of infrastructure for optimal extraction, transformation, and loading of data from a variety of data sources;
Working to constantly improve data reliability and quality;
Collaborating with cross-functional teams to support their data infrastructure needs.

Must-have qualifications:

Experience in designing and implementing machine learning solutions to business problems;
A passion for statistical methodology, including an ability to unpack the assumptions and interpretations of various approaches
Experience with SQL to write nuanced analytic queries;
Familiarity with big data tools using AWS or other cloud services;
Intellectual curiosity to innovate on ways to solve data management issues.

Nice-to-have qualifications:

Working knowledge of Pandas and ideally PySpark;
Experience deploying deep learning models;
Ability to optimize data pipelines, architectures, and data sets.

Salary range for this role is $75,000 to $90,000 per year, depending on experience.

If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!


Associate Data Scientist

At MissionWired, we help clients create revolutionary digital strategies that advance their mission, change our country, and have a positive impact on the world.

We’re digital-obsessed, tech-savvy do-gooders who care deeply about social change. We’ve brought digital strategies to life for nonprofit organizations working around the world, including Save the Children, Sandy Hook Promise, and Friends of the Earth, as well as progressive political organizations, campaigns and candidates. This cycle, we're excited to support the DGA in flipping and protecting governorships across the country while expanding the Democratic majority in the Senate via our work with the DSCC, Sen. Raphael Warnock, Rep. Val Demings, Sen. Catherine Cortez Masto and Sen. Maggie Hassan.

We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin.

We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community.

Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible.

Overview: We are looking for an associate data scientist to join us in bringing machine learning to online fundraising through our AdvantageAI product. The models you create will improve the lives of people throughout the world by empowering digital donors and activists to support our mission-driven clients. You’ll be driving positive change as part of a team of data scientists and engineers developing first-of-their-kind machine-learning products.

You’ll join an data science team that is deeply devoted to inclusion, particularly in the following three areas:

Process: We create a context in which everyone is empowered to contribute.
Machine Learning: We are committed to identifying and removing bias from our algorithms.
Philanthropy: We empower diverse groups of individuals to participate in giving.

With us, you’ll put your skills to use for innovation that powers social good. We want your ideas and your leadership. Join us. Let’s go.

You will be responsible for:

Developing and enhancing the core models that power the AdvantageAI platform, supporting digital donor acquisition and UX optimization;
Designing experiments to determine how to maximize client goals, such as philanthropic donation or email activation;
Supporting the development of infrastructure for optimal extraction, transformation, and loading of data from a variety of data sources;
Working to constantly improve data reliability and quality;
Collaborating with cross-functional teams to support their data infrastructure needs.

Must-have qualifications:

A passion for statistical methodology, including an ability to unpack the assumptions and interpretations of various approaches
Experience with SQL to write nuanced analytic queries;
Experience in designing and implementing machine learning solutions to business problems;
Familiarity with big data tools using AWS or other cloud services;
Intellectual curiosity to innovate on ways to solve data management issues.

Nice-to-have qualifications:

Working knowledge of Pandas and ideally PySpark;
Experience deploying deep learning models;
Ability to optimize data pipelines, architectures, and data sets.

Salary range for this role is $55,000 to $75,000 per year, depending on experience.

If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!


Data Scientist Compliance

About Kraken

As one of the largest and most trusted digital asset platforms globally, we are empowering people to experience the life-changing potential of crypto. Trusted by over 8 million consumer and pro traders, institutions, and authorities worldwide - our unique combination of products, services, and global expertise is helping tip the scales towards mass crypto adoption. But we’re only just getting started. We want to be pioneers in crypto and add value to the everyday lives of billions. Now is not the time to sit on the sidelines. Join us to bring crypto to the world.

About the Role

The Compliance Systems team works at the intersection of Data Science, Product and Compliance. The Systems team is looking for a Data Scientist with a background in statistics, machine learning and/or natural language processing to help us build and maintain models to describe and predict anomalous customer activity on Kraken’s platform.

The role will involve maintaining the transaction monitoring rules codebase, ensuring that requirements for model validation are met, and building a number of new models to enhance existing controls. There is significant scope for innovation in this role, and we are looking for someone who thrives in an environment of ‘freedom with responsibility’.

The ideal candidate would have some familiarity with the control systems used to comply with regulatory requirements under BSA/AML or AMLD 4+, but this is not required. A great candidate will be someone who has experience solving customer and behaviour profiling problems in an evolving data environment.

This role will contribute directly to Kraken’s ability to build best-in-class systems for detecting financial crime and will enable us to continue to meet regulators’ expectations for a robust monitoring and control program.

Responsibilities

Partner with Compliance operations, Product, Engineering and other stakeholders to build descriptive and predictive models to identify anomalous activity.
Maintain the existing transaction monitoring rules codebase.
Ensure that all activities meet model validation requirements.
Design and build proof-of-concept models to test hypotheses and help with idea generation and refinement.
Use structured and unstructured data to enrich transaction monitoring metadata.
Drive cross functional projects from beginning to end: build relationships with partner teams.
Communicate model methodology and results to operations teams and Compliance leadership.
Develop anomaly detection and data modelling tools to monitor key performance indicators to improve the efficiency of models.

Requirements

PhD or Masters degree in Statistics, Computer Science, Physical Sciences, Economics, Math or a related technical field.
3+ years industry experience in data science or analytics.
A consistent track record of performing data analysis using Python, R, SQL or other CLI tools.
Experience using statistics and predictive analytics to solve complex business problems.
Versatility and willingness to learn new technologies on the job.
The ability to clearly communicate complex results to technical and non-technical audiences.

Nice to have

Familiarity with cloud native and distributed processing would be a strong plus (for example Kubernetes)
Familiarity with financial crime and market abuse typologies is a plus.

Location Tagging: #EU #US

We’re powered by people from around the world with their own unique and diverse experiences. We value all Krakenites and their talents, contributions, and perspectives, regardless of their background.

As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.

Stay in the know

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Senior Data Scientist

Role Summary:
Data Scientists at Sensor Tower are hybrid data scientists and software engineers. You would take data all the way from doing initial analysis to building data pipelines to final model implementation and monitoring. Data Scientists take full ownership of the back-end of the products they’re working on.

We are looking for a hands-on thinker to help harvest new insights from our constantly growing foundation of quantitative information collected from the mobile app ecosystem.

Responsibilities

Prototype machine learning models in Python or Ruby
Work with MongoDB and analyze query performance to ensure calculation efficiency
Write tests for the implementation of machine learning models
Collaborate with back-end engineers to understand the raw data being collected
Collaborate with front-end engineers to create data visualizations for both external and internal customers
Conduct ad-hoc data analysis based on requests from the Sales, CSM or Contents team
Present results of various data analysis

Requirements

Master’s degree or above in mathematics, statistics, or computer science
3+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in mobile market intelligence
Ability to write code that is ready for production (Python and Ruby preferred)
Experience with adjusting data for bias
Substantial experience with databases, querying data, and data structure manipulation
Ability to communicate effectively with technical developers and non-technical marketing business partners
Ability to produce rough timelines for deliveries plus solid understanding of steps necessary to complete a project
Ability to come up with a rough project structure from scratch
Ability to critically analyse given data, ask probing questions, and perform own research
Substantial knowledge of statistical modeling techniques
Mastery of one or more statistical visualization or graphing toolkits such as Excel, Jupyter Notebooks, or Google Spreadsheets

About Sensor Tower

Sensor Tower is a high-growth SaaS company that provides accurate, comprehensive, and customizable mobile market economy analytics to app developers, game developers, industry analysts and investors. Founded in 2013, Sensor Tower has grown from a $1M seed investment to being profitable and in 2020 we received a $42M growth investment from Riverwood Capital.

Why Sensor Tower?

Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!

Our benefits include:
 - Flexible time off so employees can shape their time away from work.
 - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.
 - Monthly internet stipend and a one-time $500 home office stipend.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.

#LI-Remote


Full Stack Data Scientist


Data Scientist

About thredUP:

thredUP is transforming resale with technology and a mission to inspire a new generation of consumers to think secondhand first. By making it easy to buy and sell secondhand, thredUP has become one of the world’s largest resale platforms for women’s and kids’ apparel, shoes and accessories. Sellers love thredUP because we make it easy to clean out their closets and unlock value for themselves or for the charity of their choice while doing good for the planet. Buyers love shopping value, premium and luxury brands all in one place, at up to 90% off estimated retail price. Our proprietary operating platform is the foundation for our managed marketplace and consists of distributed processing infrastructure, proprietary software and systems and data science expertise. In 2018, we extended our platform with thredUP’s Resale-As-A-Service (RaaSⓇ), which facilitates modern resale for a number of the world’s leading brands and retailers. thredUP has processed over 125 million unique secondhand items from 35,000 brands across 100 categories. By extending the life cycle of clothing, thredUP is changing the way consumers shop and ushering in a more sustainable future for the fashion industry.

How You Will Make An Impact:

At thredUP, our mission is to inspire a new generation to think secondhand first, and data is critical to our success. We are seeking a curious and creative data scientist to join our team to drive critical business decisions to grow our customer base and improve the efficiency of our marketing dollars. You will be working with a highly interdisciplinary team of data scientists, software engineers, product managers, and marketers. This role will involve building and refining the algorithms that drive our growth, deriving insights from our wealth of customer and inventory data, and partnering with our marketing and product teams to evolve and grow the thredUP marketplace.

In This Role You’ll Get To

Implement end-to-end algorithmic solutions to drive marketing and product decisions
Partner with the growth marketing team to advance our attribution methodology as we take a full funnel approach to marketing and navigate evolving privacy regulations
Design, configure, and analyze experiments that uncover fundamental truths about our customer and drive business growth
Provide insights that will help enhance our understanding of customer lifetime value
With customer experience and growth top of mind, work with cross functional teams to build site features, advance our notification strategy, and design high-impact promotional events
Uncover insights hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings
Design, code, and deploy data science and machine learning solutions across the product and business landscape in collaboration with other engineers and data scientists

What We’re Looking For

3 or more years of demonstrated ability as part of a data science, product analytics, machine learning, or software development team
Prior experience working in B2C marketing analytics
Ability to effectively work with business and product leads; strong cross-functional communication skills that help push projects forward and encourage the development of new collaborations
Innate curiosity and drive to find insights that unlock new growth or efficiency - you can’t help but dig in and seek the truth
Well-rounded skill set in statistics, machine learning, software development, and project management
Advanced knowledge of SQL, Python and R, and experience writing code in a collaborative environment
Familiarity with business intelligence tools like Looker and Amplitude or similar

What We Offer:
- 4-day work week with Fridays off
- Competitive salary (we leverage market data) + stock
- Employee stock purchase plan
- Flexible PTO (take the time you need) + 13 company holidays (US offices)
- Paid Sabbatical after 3 years of full time employment
- Generous paid parental leave for new mothers and fathers
- Medical, dental, vision, 401k, life and disability insurance offered
- We live by our Core Values of Transparency, SpeakingUP, Thinking Big, Infinite Learning, Influencing Outcomes & Seeking the Truth
- Voted “50 Most Innovative Companies of 2020”
- RaaS - Finalist in Fast Company’s World Changing Ideas Awards 2021
- 2021 FORTUNE Change the World Finalist

We believe diversity, inclusion and belonging is key for our team.
At thredUP, our mission has been built on extending the lives of millions of unique clothing items. Much like our inventory, we are proud to have fostered a workplace that is one-of-a-kind. As a company focused on diversity, inclusion and belonging, we are committed to ensuring our employees are comfortable bringing their authentic selves to work every day. A unique perspective is critical to solving complex problems and inspiring a new generation to think secondhand first. Be you.

This position is remote eligible in the following states: AL, AK, AZ, AR, CA, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, WV, WI, WY


Senior Or Staff Data Scientist Spotify Advertising

At Spotify Advertising, our part of that mission is to build the next generation advertising platform for audio which can scale the freemium experience for hundreds of millions of fans and tens of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities to define the insights product for our business.

We are currently recruiting for a number of data science roles within the multidisciplinary Spotify Ads Insights team. We are looking for experienced and accomplished Data Scientists to join us at the Senior and Staff levels.

Our mission is to enable the product and business teams to meet their objectives through evidence based decision making and customer focus. As a data scientist in this group you will use the whole range of data science tools and capabilities to conduct analysis related to one or more of the following areas of focus:
-User facing advertising product development
-Client facing product development for advertisers and publishers
-Platform and machine learning engineering performance
-Product marketing
-Sales and operation
-Strategic research

What you'll do

Perform analyses on large sets of data to extract practical insights that will help drive product, platform and business decisions
Design and conduct A/B tests to drive iterative improvement to both user and advertiser metrics through efficient experimentation
Communicate data-driven insights and recommendations to key partners
Work closely with cross-functional teams of engineers, user researchers, product owners, designers and business decision makers who are passionate about Spotify’s success
Build lasting solutions to surface critical data and performance metrics
Help us develop our knowledge and practice around the development and evaluation ML driven and user focused products
Develop individually to continue to grow your impact, and help mentor peers and early career colleagues

Who you are

You have 5+ years experience in a similar data science role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative subject area.
Based on your experience and expertise we will match you to one of two levels during the interview process - Senior Data Scientist or Staff Data Scientist.
Ideally you have experience working in an analytics role that focuses on improving internal decision making while working with one of - platform teams, ML functions, product teams, sales teams or marketing teams and have conducted A/B tests, defined metrics and delivered exploratory analyses.
You have the technical competence to perform more advanced analytics:Coding skills for analytics and data extraction (SQL, R, Python, Pandas)Data visualization (such as Tableau, D3, ggplot, Looker)
Experience performing analysis with large datasets
Strong understanding of statistics and machine learning
You value cross-disciplinary work and understand how to match qualitative research with your quantitative analysis.
You are capable of solving very loosely defined problems.
You are a communicative person that values building strong relationships with colleagues and collaborators and have the ability to explain complex topics in simple terms.
You are curious, exhibit a growth mindset and are excited by working on a constantly evolving team

Where you'll work

We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere  options here.
Working hours? We operate within the Eastern Standard time zone for collaboration

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.


Data Scientist Spotify Advertising

At Spotify Advertising, our part of that mission is to build the next generation advertising platform for audio which can scale the freemium experience for hundreds of millions of fans and tens of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities to define the insights product for our business.

We are currently recruiting for a number of data science roles within the multidisciplinary Spotify Ads Insights team. We are looking for experienced and accomplished Data Scientists to join us at the Associate/Data Scientist level.

Our mission is to enable the product and business teams to meet their objectives through evidence based decision making and customer focus. As a data scientist in this group you will use the whole range of data science tools and capabilities to conduct analysis related to one or more of the following areas of focus:
-User facing advertising product development
-Client facing product development for advertisers and publishers
-Platform and machine learning engineering performance
-Product marketing
-Sales and operation
-Strategic research

What you'll do

Perform analyses on large sets of data to extract practical insights that will help drive product, platform and business decisions
Design and conduct A/B tests to drive iterative improvement to both user and advertiser metrics through efficient experimentation
Communicate data-driven insights and recommendations to key partners
Work closely with cross-functional teams of engineers, user researchers, product owners, designers and business decision makers who are passionate about Spotify’s success
Build lasting solutions to surface critical data and performance metrics
Help us develop our knowledge and practice around the development and evaluation ML driven and user focused products
Develop individually to continue to grow your impact, and help mentor peers

Who you are

You have experience in a similar data science role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative subject area.
Ideally you have experience working in an analytics role that focuses on improving internal decision making while working with one of - platform teams, ML functions, product teams, sales teams or marketing teams and have conducted A/B tests, defined metrics and delivered exploratory analyses.
You have the technical competence to perform more advanced analytics:Coding skills for analytics and data extraction (SQL, Python, Pandas) Data visualization (such as Tableau, D3, ggplot, Looker)
Experience performing analysis with large datasets
Strong understanding of statistics and machine learning
You value cross-disciplinary work and understand how to match qualitative research with your quantitative analysis.
You are capable of solving very loosely defined problems.
You are a communicative person that values building strong relationships with colleagues and collaborators and have the ability to explain complex topics in simple terms.
You are curious, exhibit a growth mindset and are excited by working on a constantly evolving team

Where you'll work

We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere  options here.
Working hours? We operate within the Eastern Standard time zone for collaboration

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.


Senior Data Scientist Performance Platform

At Spotify Advertising, our part of that mission is to build the next generation advertising platform for audio which can scale the freemium experience for hundreds of millions of fans and tens of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities to define the insights product for our business.

At Spotify Advertising, our part of that mission is to build the next generation advertising platform for audio which can scale the freemium experience for hundreds of millions of fans and tens of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities to define the product for our business.
We are currently recruiting for a number of data science roles within the Spotify Ads Platform team. This team builds and maintains our various ad formats, and the systems that enable these ad formats. We answer questions such as, when is the best time to serve an ad, what is the best ad for this user at this time, how does this ad impact the user experience, and more. Our goal is to create an awesome ad experience for our listeners, while also bringing values to our advertisers.

We are looking for experienced Data Scientists to join us at the Senior Data Scientist / Data Scientist level.

What you'll do

Perform analyses on large sets of data to extract practical insights, to understand how our users experience ads, and use these insights to inform product development.
Design and conduct A/B tests to drive iterative improvement to both user and advertiser metrics through efficient experimentation
Communicate data-driven insights and recommendations to key partners
Work closely with cross-functional team of engineers, user researcher, product owners, designers and business decisions makers

Who you are

You have experience in a similar data science role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative subject areas
Based on your experience and expertise we will match to one of the two levels during the interview process: Senior Data Scientist or Data Scientist
You have the technical competence to perform more advanced analytics: coding skills for analytics and data extraction (such as SQL, Python, Pandas, R) and Data Visualization (such as Tableau, ggplot)
You have experience in a/b testing, ideally in a product setting
You value cross-disciplinary work and understand how to match qualitative research with your quantitative analysis
You are communicative with a wide range of xfn partners: able to explain complex concepts to non-technical stakeholders, able to conduct deep discussion with engineers
You are comfortable with ambiguity and fluidity: Being able to define and give shape to projects where the problem needs to be refined, being able to adapt to changing context

Where you'll work

We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere  options here.
Working hours? We operate within the Eastern Standard time zone for collaboration

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.


Data Scientist Statistics Usa

Olive’s AI workforce is built to fix our broken healthcare system by addressing healthcare’s most burdensome issues -- delivering hospitals and health systems increased revenue, reduced costs, and increased capacity. People feel lost in the system today and healthcare employees are essentially working in the dark due to outdated technology that creates a lack of shared knowledge and siloed data. Olive is designed to drive connections, shining a new light on the broken healthcare processes that stand between providers and patient care. She uses AI to reveal life-changing insights that make healthcare more efficient, affordable and effective. Olive’s vision is to unleash a trillion dollars of hidden potential within healthcare by connecting its disconnected systems. Olive is improving healthcare operations today, so everyone can benefit from a healthier industry tomorrow. Job Overview:This Data Scientist will extend Olive’s track record of innovation and disruption as part of our in-house Ventures studio, where we build out new companies to hyper focus on specific solutions with independent market opportunities.   As the lead Data Scientist on the team, you will work directly with our founders to pioneer cutting-edge models and applications, putting a wide array of data to work for healthcare customers.  You’ll benefit from access to a wealth of established technology and expertise within Olive itself as you drive development of novel models to power our founders’ vision and products.Olive Ventures (OV) builds and launches new companies to solve challenges in healthcare that are not addressed by Olive’s direct offerings.  OV is a part of the Olive ecosystem and is able to take advantage of Olive technologies and the Olive platform while introducing new innovations and business models.  OV includes a team of people across disciplines that work with new company founders to develop their solution.  This team includes investors, research analysts, business development, marketing, design, data science and engineering.    Essential Duties and Responsibilities:  Employ machine learning and statistical modeling to create and enhance data driven products and solutions for startups in our Venture Studio Work with a variety of data science tools, methods and programming languages  Ensure data quality throughout all stages of acquisition and processing, including areas such as data sourcing/collection, ground truth generation, normalization and transformation Work with Big Data and transform complex datasets into more usable formats Analyze and extract insights from internal and external data Collaborate with internal stakeholders to solve complex problems Perform thorough literature review of related technologies and methods, and make well-informed decisions on how to blend existing work with novel development     Bachelor’s degree in Statistics, Decision Sciences, Applied Mathematics, Economics or equivalent combination of training and professional experience 3+ years of hands-on experience with relational and unstructured databases 5+ years experience with machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis across a variety of models and domains Proficient in data science tools and programming languages such as Python, R, SQL, Tableau, ideally with experience transitioning these into production/customer-facing applications  Experience with graph modeling and/or process mining is a plus Experience with cloud-based databases and workflows (AWS, Google Cloud, Azure, etc) Ability to partner and innovate amazing products with a very diverse team of founders, engineers, data scientists, operators, and customers   Passion for building “zero to one” technology and products, and rapidly iterating in a fast-paced startup environment Excellent analytical, decision-making, problem-solving, team, and time management skills Confidence and ability to develop well-founded opinions on how to solve a variety of ambiguous  problems without a great deal of guidance   Positive outlook, strong work ethic, and responsive to internal and external clients and contacts Delivery-oriented team player who takes responsibility for the team’s success and strives to continually learn and improve Sense of ownership and pride in your performance and its impact on company success At Olive, we're committed to growing and empowering an inclusive community within our company and industry. This is why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives across our organization. Research shows that oftentimes women and other minority groups only apply to open roles if they meet 100% of the listed criteria. Olive encourages everyone — including women, people of color, individuals with disabilities and those in the LGBTQIA+ community — to apply for our available positions, even if they don't necessarily check every box on the job description.Disclaimer: This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned.This job description does not constitute a contract of employment and Olive AI, Inc. may exercise its employment-at-will rights at any time.We take the health and happiness of our employees seriously and consistently evaluate new ways to provide an amazing place to work. From retirement planning, to a wellness program designed to actively incorporate mental and physical wellness into daily interactions amongst fellow Olivians, we make sure to take care of our own. Health, Dental, and Vision insurance that starts on your first day at Olive with 100% of premiums covered for team members and 75% covered for dependents Monthly Grid stipend to cover work related expenses Unlimited PTO Telemedicine EAP/Mental health resources Getaways by Marriott Bonvoy Family-building and fertility support via Kindbody 12 weeks of parental leave 401(K) match Wellness program Stock Options


Lead Data Scientist Clinical And Risk Modeling

Description
Company: Oak Street Health
Title: Lead Data Scientist
Location: Chicago, IL / Remote
Company Description
Oak Street Health is a rapidly growing company of primary care centers for adults on Medicare in medically-underserved communities where there is little to no quality healthcare. Oak Street’s care is based on an entirely new model that is based on value for its patients, not on volume of services. The company is accountable for its patients’ health, spending more than twice as long with its patients and taking on the risks and costs of their care. For more information, visit  http://www.oakstreethealth.com.
Role Description
Oak Street Health is looking for a lead data scientist to join our care and risk modeling team. This team is responsible for delivering high quality modern data solutions through collaboration with engineers, analysts, and product teams in a fast-paced, agile environment leveraging cutting-edge technology to reimagine how Healthcare is provided. As a lead data scientist you will be responsible for guiding a team of data scientists and analysts in developing and refining heavily utilized models such as DataIQ (link). In this position, you will be responsible for taking on new initiatives associated with enhancements, expansion, maintenance and scaling. As a member of our team, you will make an immediate impact as you help expand our data science capabilities across our whole care model. This is a fast-paced role with high growth, visibility, impact, and where many of the decisions for new projects will be driven by you and your team from inception through production.
Responsibilities
Lead our care and risk modeling team through design, development, and deployment of new functionalitiesFunction as a thought partner for business stakeholders to determine impactful applications of statistical analysis and machine learningIterate with clinical and population health partners to tailor models and tools to address program requirementsWrangle and analyze large structured and unstructured datasets in a highly repeatable fashionWork closely with other development teams to create the platform vision and evolve the product roadmapDevelop and mentor a team of junior data scientistsDemonstrate strong communication skills (both written and verbal) and a positive, solution-oriented attitude
What we’re looking for
Minimum of 5 years of healthcare or life sciences data science or analytics experienceMinimum of 2 years of technical mentoring experienceExcellent command of data science libraries in Python Experience with model productionalization lifecycle (Assessment, Deployment, Monitoring, Retraining)Extensive experience with SQL-based relational databases Understanding of the use and misuse of statistics for causal inferenceExcellent problem-solving and analytical skills US work authorizationSomeone who embodies being “Oaky”
What does being “Oaky” look like?
Radiating positive energyAssuming good intentionsCreating an unmatched patient experienceDriving clinical excellenceTaking ownership and delivering resultsBeing scrappy

Why Oak Street?
Oak Street Health offers our coworkers the opportunity to be at the forefront of a revolution in healthcare, as well as:
Collaborative and energetic cultureFast-paced and innovative environmentCompetitive benefits including paid vacation and sick time, generous 401K match with immediate vesting, and health benefits
Oak Street Health is an equal opportunity employer. We embrace diversity and encourage all interested readers to apply to oakstreethealth.com/careers.