nathansutton/data-science-job-descriptions huggingface dataset:
Senior Data Scientist Decision Engine at Perchhq

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

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

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

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

So, what’s the role?
At Kin, we are modernizing and simplifying a 100-year-old industry through the use of data & technology. The data science team at Kin is a centralized department supporting the rest of the organization, including underwriting, claims, insurance product, operations, finance, and marketing. The Senior Data Scientist role will build machine learning and AI models to deliver value to all these business units and more. We want to hire someone with a diverse methodological skill set, who enjoys digging into data and using it to solve business problems, whatever they may be. Because we are building the team, there is ample opportunity for creative freedom and flexibility.
A day in the life could include: 

Development of GLM and tree-based models to predict profitability of each insured.
Working with data engineering & business intelligence to develop modeling datasets, and contributing to the buildout of these data models
Build ensemble algorithms to predict customer retention & conversion
Automation of Kin’s direct mail strategy
Creation of a lifetime value model to prioritize marketing by person/property and marketing initiative
Researching advanced AI techniques to advance the industry, including building a computer vision model, and developing state of the art NLP models to interpret documents and assist in claims handling.
Ideating Machine Learning use cases with business partners; gathering requirements, testing feasibility, etc.

I’ve got the skills… but do I have the necessary ones?

Bachelor’s degree or Masters in Machine Learning, Statistics, Mathematics, Computer Science, Economics, or a related field
Masters / PhD in a technical field preferred
Experience developing GLMs & tree-based models
Experience mentoring and providing technical oversight to ML teams
5-7+ years working experience developing ML models
Insurance experience preferred
Familiarity with tools used to develop and implement predictive models (i.e. Domino Data Labs, Sagemaker, Docker, etc…)
Experience interfacing with business partners to define data science projects and solutions
Must have experience in applied mathematics or statistics 
Experience in programming in Python and understanding of the software development life cycle
Excellent communication skills, both oral and written
Familiarity with natural language processing models a plus
Interest or experience in highly regulated and / or startup environment(s)
Passion for telling stories with data

Oh, and don’t worry, we’ve got you covered! 

Medical, Dental and Vision Insurance
Flexible PTO policy 
Very generous equity options and 401K
Parental Leave
Continuing education and professional development 
Disability and Life Insurance 
The excitement of joining a high-growth Insurtech company and seeing your work make an impact
Senior Data Scientist at Moonpay

The Team ❤️
You will join a Data team that is here to build up and serve a best in class data platform to the whole company. Your role will be focussed on developing and deploying machine learning models which aim to tackle fraud. In this role you will have a huge opportunity to drive real value in the company. 
Tech Stack 💻
GCP, BigQuery, DBT, Looker
What you’ll do 👀


Develop and deploy machine learning models that are able to detect fraudulent behaviours; reducing fraud and risk to the company 


Proactively drive forward initiatives to improve our fraud controls through advanced analytics and machine learning 

Conduct deep-dive analysis in order to identify trends in fraudulent behaviours and propose data-driven mitigation insights with a goal of reducing fraud 

Contribute to designing our data science platform for efficient model training and experimentation

Work in a cross-functional team with Product, Data Science, Engineering etc

As a Senior you will be expected to:

Mentor and coach other members of the team
Contribute to our overall approach and standards across the machine learning workflow

You should apply if: ✅

You have a proven track record of building, deploying and maintaining machine learning models in a production setting
You have extensive experience working with Python and SQL
You have a deep understanding of fundamentals of statistics and probability, including experience in conducting large scale A/B tests
You have the ability to clearly communicate complex results to both technical and non-technical audiences
You have either had experience with some of our tech stack or are confident you can cross train and up skill quickly 
You are proficient in English, both written and spoken
You have a self-starter, curious mindset and you proactively identify opportunities which lead to a real impact on the company

Bonus points if:

You have experience working with Google Cloud Platform 
You have previous experience working in fintech
You have knowledge of cryptocurrency

Research has shown that women are less likely than men to apply for this role if they do not have solid experience in 100% of these areas. Please know that this list is indicative and that we would still love to hear from you even if you feel you only are a 75% match. Skills can be learnt, diversity cannot.
We promote a diverse and inclusive culture at MoonPay.

Logistics 🛠 

Unfortunately, we are unable to offer visas of any kind at this time!
Our interview process takes place on Zoom and tends to consist of the following stages:

Intro call with hiring manager (30 minutes)
Remote take-home task 
Technical screening (60 minutes)
Final interviews (90 minutes)

Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance.
Director Data Science New Initiatives at Dropbox

Role Description
How many times you get an opportunity to be at the ground floor on a very big and important mission? What if you get to be one of the top leaders defining the mission, hiring, guiding your teams and influencing the direction of Dropbox? As a Director of Data Science for this new division, you will exactly get to do that.  You will be able to drive the future direction of this new initiative and answer key questions about revenue/user growth. You will build and lead a team of top-tier data scientists and be an inherent part of product org to create and scale this new business.
As a ground floor opportunity for this startup team, we need this lead to build a top-tier data-informed culture with a lot of focus on impact and execution.
Responsibilities


You will lead the team in balancing urgency vs. the incredibly high quality bar expected by both our customers and the broader Dropbox organization, through clear and repeatable data informed approach


You will partner closely with leadership across all functions - Product, Engineering, Design, Research, GTM, Customer success and Sales 


You will have the seat at the table for every key decision for this new initiative


You will create a culture of strong technical ownership, resulting in highly reliable products and services at scale


You will build and manage a team of high performing data scientists to deliver best in class analytics 


You will leverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps


Requirements

Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

10+ years experience of leveraging data-driven analysis to influence key business decisions, preferably in a tech company

3+ years directly managing data scientists, quantitative researchers, or product analysts

Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impact

Ability to influence prioritization and execution of high impact projects effecting customer experience and monetization
Ability to analyze large datasets and use data to inform product or business decision making, with a track record of driving directly measurable product or business impact

Good Executive presence with excellent verbal and written communication skills


Previous experience building data driven programs and teams - experience with SQL and large datasets, deep understanding of statistical analysis & experiment design
Senior Data Scientist at Divvy Homes

Why Divvy?


At Divvy Homes, we're building an on-ramp to homeownership – one that's more flexible, more affordable, and an all-around better fit for today’s American family – and it’s working.


We’re searching for a Senior Data Scientist to join our growing company. Data science is crucial to nearly every aspect of Divvy’s business, from home valuation, to customer underwriting, to improving the product to better enable our customers to build equity. Day to day, you will perform a mix of exploratory data analysis, statistical modeling, software engineering, stakeholder engagement, and written and oral presentation. We’re looking for people who feel comfortable diving into difficult problems, getting their hands dirty, and getting results. You will report directly to our Head of Data Science & Analytics.


Skills & Experience

You have 3+ years of experience working in data science
You are skilled in R, Python, or both
You are highly capable in SQL
You have a strong understanding of statistical modeling
You communicate clearly in both written and oral form
Bonus points (but not required) for previous real estate experience, credit modeling experience, or A/B testing experience



Perks

Competitive salary + equity
Full benefits (medical, dental, vision, 401k, commuter)
Position can be 100% remote, or on-site in our SF or Denver offices
Diverse, smart, and kind co-workers



Commitment to Diversity & Inclusion

Divvy Homes is committed to building a diverse and inclusive team. We enthusiastically encourage individuals from a variety of lived experiences to reach out.
Data Scientist at Divvy Homes

Why Divvy?


At Divvy Homes, we're building an on-ramp to homeownership – one that's more flexible, more affordable, and an all-around better fit for today’s American family – and it’s working.


We’re searching for a Data Scientist to join our growing company. Data science is crucial to nearly every aspect of Divvy’s business, from home valuation, to customer underwriting, to improving the product to better enable our customers to build equity. Day to day, you will perform a mix of exploratory data analysis, statistical modeling, software engineering, stakeholder engagement, and written and oral presentation. We’re looking for people who feel comfortable diving into difficult problems, getting their hands dirty, and getting results. You will report directly to our Head of Data Science & Analytics.


Skills & Experience

You are skilled in R, Python, or both
You are highly capable in SQL
You have a strong understanding of statistical modeling
You communicate clearly in both written and oral form
Bonus points (but not required) for previous real estate experience, credit modeling experience, or A/B testing experience



Perks

Competitive salary + equity
Full benefits (medical, dental, vision, 401k, commuter)
Position can be 100% remote, or on-site in our SF or Denver offices
Diverse, smart, and kind co-workers



Commitment to Diversity & Inclusion

Divvy Homes is committed to building a diverse and inclusive team. We enthusiastically encourage individuals from a variety of lived experiences to reach out.
Data Scientist at Mothership

We are building the future of freight

Mothership's groundbreaking technology is unlocking the world's potential by making freight delivery more efficient. Founded in 2017, we're backed by some of venture capital's best investors and have already become the logistics backbone for many of today's most innovative companies.

Mothership is looking for our first Data Scientist to help better understand our carriers, identify how we can optimize our routes, elevate demand density and strengthen traffic recognition. 


As the first Data Scientist, you will exude a passion for developing powerful mission-critical statistical and machine learning models, as your goal will ultimately be to investigate and develop a core strategy that will make us the strongest and fastest freight provider in the United States. In order to work cross-functionally across the organization, great communication and willingness to take risks and push boundaries will be required. 


What You'll Do

Make significant and early contributions to the direction and role of data science at Mothership
Help the product and engineering teams make data-driven decisions 
Hands on work with geospatial data
Design, implement, and evaluate A/B tests
Build datasets and train machine learning models
Build dashboards and data visualizations
Work with and learn from leaders from all departments within the organization 



Qualifications

Bachelor’s degree or higher in Statistics, Computer Science, or equivalent
Experience working within a well-established organization or at a high-growth company
Proficiency in data science, machine learning, descriptive and inferential statistics, and A/B testing
Experience using statistical techniques to answer business questions and make data-driven decisions
Ability to select, train, and evaluate machine learning models for a variety of use cases
Ability to jump in and fix or extend open-source projects
Excellent communication skills, and ability to communicate complex technical information to both professionals and non-specialists



Technologies We're Working With

ETLs
SQL
Looker
Python
Jupyter Notebooks
Pandas
Scikit-Learn
SciPy
Tensorflow
PyTorch



Benefits & Perks

Highly competitive salary and the opportunity to earn employee stock options
Full health, dental and vision insurance coverage (PPO)
401k (4% matching)
Unlimited paid time off
Equipped with the latest technology
Remote workplace stipend



Culture at Mothership

We’re an ambitious, endlessly curious, and open-minded group. Our team is passionate about our mission and eager to produce work at the highest level. The environment is upbeat and supportive because we care about each other and believe positive momentum equals better outcomes.

If this sounds like a place you’d be a great addition to, let’s chat.
Quantitative Analyst at Mythical Games

We are Mythical Games. A venture-backed next-generation game technology company at the intersection of video games and economics led by industry veterans. Our goal is to lead the industry with the launch of exceptional video game experiences that leverage distributed ledger technology while also providing a platform of robust tools that will allow any other game developers to do the same.
We are seeking a Quantitative Analyst to join our growing marketplace team of quants, developers and product leaders. This role will be primarily responsible for the design, development and operation of pricing and market-making algorithms across a growing portfolio of digital assets. We are looking for someone who is passionate about data, and knows how to solve problems using a mix of economic theory, quantitative modeling and their industry experience in a financial or ecommerce setting.
Responsibilities:

Develop, monitor, and improve algorithms that provide liquidity on our marketplace; including models for asset valuation, pricing and fee optimization
Develop causal and predictive models to estimate supply and demand and improve fundamental understanding of the market
Design, execute and evaluate pricing and economic experiments
Analyze and assess new sources of internal and external data
Collaborate with product managers and ML engineers to productize data solutions

Basic Qualifications

Bachelor's degree in a technical field with exceptional academic credentials (e.g., Mathematics, EE/CS, Statistics, or Operations Research)
Intermediate to advanced Python development skills
Experience working with Python scientific computing packages (NumPy, SciPy, pandas, sklearn, PyTorch, JAX)
Proficiency with SQL
Knowledge of optimization methods, statistics, econometrics, and machine learning
Experience contributing to risk and profitability decisions in a marketplace or ecommerce setting

Preferred Qualifications

MA/MS. in a technical field such as Mathematics, Statistics, Economics/Finance, EE/CS, or Operations Research, or bachelor’s degree with 1-3 years of experience in a similar role
Familiarity with the GCP suite, including BigQuery, Composer, and Cloud Functions
Interest in and proficiency with blockchain solutions
Passion for video games

Our team values diversity and believes that it strengthens our games, products, and communities. We strongly encourage POC, folks with disabilities, those belonging to the LGBTQIA+ communities, and folks across all gender identities to apply.
We offer our team benefits such as (but not limited to) high-quality Vision, Dental, and Health Care, generous Parental Leave, and Unlimited PTO to ensure that they actually take time off without the stress of needing to accrue time.
If you need assistance around accommodations due to a disability, please reach out to accessibility@mythical.games. We’ll be with you as soon as possible; our goal is to ensure an accessible and equitable interview process for everyone.
Biomedical Data Scientist Summer Internship at Pathai

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Rigorous science and careful analysis is critical to the success of everything we aspire to do. Our team, comprising diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact.
We're looking for Biomedical data science interns to join our team and help us solve and achieve our translational research goals. 
What you’ll do:

Understanding PathAI’s products and strategic goals, and working towards those goals by innovating on our methods with respect to model performance, translational relevance, rigor, and robustness.
Developing the statistical software that powers retrospective biomarker discovery in clinical trials and prospective evaluation of models at PathAI.
Performing translational research and the development of novel algorithms that enable us to quantify novel morphologic features.
Participating in scientific discovery, which leverages existing products to develop publications which reveal novel disease biology.
Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative deep learning tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside leading innovators in the field of deep learning and medicine, and play a critical role in algorithm development. Unlike other internships, the majority of your time will be focused on doing our most impactful work in the machine learning space.  

What you’ll need: 

Intellectual curiosity and the ability to learn quickly in a complex space

pursuing master’s degree or PhD in computational biology or related field, preferably with a focus on computational pathology, machine & statistical learning, and/or biostatistics.  

At least one+ years of relevant work experience
Computational science software development experience using Python or R

Benefits:

Flexible work hours
Your choice of computer equipment
Fun team events especially for interns 
Mentorship from statistics and machine learning experts at PathAI
You will have the opportunity to work in a company culture that puts employees first, is relaxed, focused and hard-working. 

PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
 
PathAI does not accept unsolicited submissions from third-parties.
Data Scientist Marketing at Figma

We are looking for a Data Scientist to partner with our Marketing teams to accelerate growth at Figma. In this role, you will be responsible for building models to optimize our marketing efforts, uncovering insights to guide new strategies, and collaborating with a variety of cross functional peers to help leverage data throughout the organization. The ideal candidate will have a strong track record of executing analytical projects as well as partnering closely with business peers to guide decision making.
 
This is a full time role that can be held from one of our US hubs or remotely in the United States.
 
What you’ll do at Figma:

Refine attribution logic and create data-backed approaches to measure effectiveness of marketing spend
Design and evaluate conversion lift experiments to optimize campaigns and measure their incremental impact
Perform impact analysis and modeling for a variety of different marketing initiatives and projects 
Evaluate and size the projected impact of new marketing strategies and how they connect to broader company goals
Develop and maintain datasets, KPIs, and reporting tools for the entire Marketing organization

 

We'd love to hear from you if you have:

2+ years relevant work experience supporting a Marketing or similar function
Fluency in SQL
Proficiency in Python, R, or similar scripting language
Experience in distributed data processing systems (Hive, Redshift, Presto, Snowflake, etc)
Firm knowledge around statistical methods and experiment design
Excellent judgment and problem solving skills
A self-starting mindset along with strong communication and collaboration skills

 


At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.



 
Read more about our team 

By the numbers: one year of remote work
Measuring the value of design systems
Figma’s Series D:  The Decade of Design
Figma's engineering values
Data Scientist at The Predictive Index

POSITION:
We’re looking for energetic, collaborative, and entrepreneurial data scientists, with a proven track record of developing innovative data solutions and machine learning models. As a data scientist, you will tackle and solve some challenging problems to enhance user experiences in the Predictive Index platform. You will take a leading role in design, code, quality, and release planning for new features within your scrum team, as you redesign the platform powering Talent Optimization.  We are implementing new features in a service-oriented architecture. We have ambitious goals and encourage engineers to think boldly with colleagues, as well as partners on the Product team. We work in a fast-moving environment and provide the autonomy to innovate in your areas of expertise.
YOUR DAY-TO-DAY:

Primary technologies include Azure Machine Learning, NLP, Python, Databricks,  .NET backend and API layer with Angular and Node.js frontend, hosted in Azure Cloud
Research and build practical machine learning algorithms
Develop application software, databases, and APIs in Azure
Support development, launch, and rollout of new features to over 7,000 clients
Partner closely with Product and other teams to anticipate user needs
Lead design sessions about problem solving, application architecture and database design
Create and drive process improvement to increase team velocity
Drive best-in-class site performance

SHOULD YOU APPLY?
If you’ve got all the below skills, drop what you’re doing right now and reach out. If you’ve got some of these skills, we still want to hear from you

Strong background in Computer Science, Data Science, or related fields 
Strong track record in data engineering and developing NLP, machine learning models or recommendation systems (3+ years experience)
Highly proficient in the Microsoft Stack or similar technologies
Experience with some or all of the following:
MLOps processes
Cloud hosted applications in Azure and AWS
Agile development processes
Continuous Integration and deployment with automated testing
Database design using relational, document, and graph databases
Architectural design for highly scalable applications
Fluency with a wide variety of languages – we love to experiment in production and we’re interested in which technologies excite you.
Entrepreneurial spirit – we expect all our engineers to provide leadership at every level and to push to improve everyday.
Data Scientist Marketing at The Knot Worldwide

ABOUT THE ROLE AND OUR TEAM:
The Knot Worldwide is in search of a talented and driven Marketing Data Scientist to join our brand new Marketing Science team. The Knot is making significant investments in Marketing across the board and is looking to bring in top talent who can leverage scientific principles and advanced analytics to solve critical business problems, such as media mix modeling, multi-touch attribution, and customer lifetime value. As a Marketing Data Scientist, you’ll be part of the broader Data organization within The Knot and will spend most of your time building statistical and machine learning models, in addition to designing and analyzing experiments to measure the impact of your work.
RESPONSIBILITIES:

Create solutions to drive marketing decision making and automation, including Media Mix and Multi-touch Attribution Models
Develop methodologies for measuring marketing performance across different parts of customer journeys and make recommendations for next best marketing actions at the user- or segment-level to drive Lifetime Value
Answer strategic marketing questions by analyzing behavioral data
Partner with business stakeholders to drive experimentation in practice
Communicate, collaborate, and present results to marketing stakeholders within The Knot Worldwide
Explore novel ways to look at our data

SUCCESSFUL DATA SCIENTIST CANDIDATES HAVE:

Master's Degree or Ph.D. preferred
Experience building MMM, MTA, or LTV models
Strong knowledge of marketing concepts
Proficiency in key statistical and machine learning techniques (predictive modeling, classification, clustering, text analytics, recommender systems, data mining methods, forecasting, and other advanced techniques)
Proficiency with R or Python
Familiarity with common Linux command line tasks and version control software like git or svn preferable
Ability to communicate effectively and influence others
Ability to work in a fast paced environment and shift gears quickly

 
#LI-KS1 #LI-Remote
Principal Data Scientist Ecosystem at Atlassian

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Does the challenge of scaling a fast-growing company by powering it with data and analytics excite you? Using your business instincts and creativity, you will support an outstanding product with nuanced analysis, relevant insights, and recommendations. We're growing quickly, so you'll need to help define the processes for sustainable growth across the marketing and analytics organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, then this role is a great fit!
Atlassian is looking for a Principal Data Scientist with technical and leadership skills to be the primary analytics partner to our Ecosystem marketing team. We're looking for someone with business instincts, creativity, analytics mastery, and experience working with cross-functional teams; someone who is passionate about applying these skills to build a measurement culture connected to business impact.
What you'll do
Work with Marketing and Product Leaders in the Ecosystem team to identify high impact opportunities for analytics, and align Analytics & Data Science priorities with the team roadmapInform growth strategy, important decisions, and customer and developer messaging for Atlassian's Ecosystem PlatformEnvision, scope, and lead high impact projects by collaborating with marketing, product, engineering, and other data scientistsPromote a measurement culture and understand the impact of our internal strategy, including designing and analyzing experiments and campaignsShare your high-quality recommendations with multiple levels of leadership to guide impactful decisionsFoster a world-class analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions
Your background
Experience applying your analytics skills to identify and lead projects which have had impact on strategic and marketing roadmap decisions8+ years of experience in analytics or related fieldsExpertise in SQL and proficiency in another data science programming language (e.g Python, R)An Agile development mindset, appreciating the benefit of constant iteration and improvementA very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Comfort explaining complex concepts to diverse audiences and creating compelling storiesExperience translating insights into actions that have a direct business impactExperience using statistics as part of your roleExperience with at least one analytics and visualization tool such as Tableau, Looker, etc.
Lead Data Scientist Supply Chain Us at General Mills

OVERVIEW
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Lead Data Scientist at General Mills, you will apply your advanced expertise in machine learning, optimization and information retrieval to design, prototype and build a next generation supply chain engine and services. You will serve as the technical leader for an enterprise level supply chain data science initiative. You will be responsible for designing the analytic architecture, constructing machine learning models, and communicating with product owners, business partners and other data scientists.
RESPONSIBILITIES
Work closely with data science leadership, engineering, and business partners to develop optimization and machine learning models using best in class tools and technology.Create production ready, scalable models that provide real time insights that align with General Mills technology standards.Serve as a senior leader as part of the data science leadership team- contribute to technical strategy, best practices, and team development.Mentor and coach junior data scientist on key technical and domain topics.Act as a thought leader in supply chain data science techniques and represent the Digital and Technology organization.Partner with functional analytic teams to align and integrate solutions.
MINIMUM QUALIFICATIONS
Master’s degree in computer science, operations research, engineering or related quantitative field or commensurate work experience in supply chain technology or data science.5+ years of professional experience developing and deploying machine learning algorithms in a production environment.Proficient in one or more coding languages including PythonExperience with graph database technology preferredExpertise with leading the development of large-scale optimization, simulation, and network-based models.Highly adaptable, curious, and willing to work independently on complex and challenging problems.There is no time in current position requirement to apply for this role.
ADDITIONAL CONSIDERATIONS
The preferred location for this role is Minneapolis, MN however remote work-at-home applications within the United States, Canada or the UK will be considered.Relocation or international remote working arrangements (outside of the US) will not be considered.
COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.
Senior Data Scientist at Health Iq

Health IQ is the only Medicare broker that uses your detailed health record and our AI platform to find a plan truly tailored to your needs.  We are a pre-IPO technology company with over $100 million raised from top Silicon Valley investors.  We value smart, driven, creative people passionate about improving the world through data and technology.
As part of Health IQ’s Digital team, the Senior Data Scientist will join the core development team designing the machine learning algorithm that powers our health needs prediction engine. We are looking for experts in predictive modeling and machine learning, who are focused on practical implementations with real-world impact. An ideal candidate is able to quickly iterate on the problem and ship to production on a regular basis.
What you will be doing:

Implementing and optimizing machine learning models
Solving mission critical data data science problems from conception to production
Implementing holistic solution design including automated data cleaning, feature engineering and scalable database structures

Who we're looking for:

Expertise in statistics and data analysis techniques like Naive Bayes, Logistic Regression, Random Forest and Neural Networks
Demonstrated history of solving data science problems from conception to production
Expertise in SQL and Python including libraries like Spacy, Pandas, Scikit, Pytorch and Keras (with Tensorflow)
Experience in holistic solution design including automated data cleaning, feature engineering and scalable database structures

The Ideal Candidate will also have:

Prior experience with startups
Prior experience of development in a regulated environment e.g. healthcare, finance, insurance, legal.
Prior experience leading teams
Undergraduate degree in computer science, or related technical field, required; advanced degree preferred

#LI-REMOTE
Principal Product Data Scientist at Clover Health

Clover is reinventing healthcare by working to keep people healthier.
As a Principal Product Data Scientist you will partner across the technology organization to guide product teams towards their quantitative goals. Your data-driven understanding of our products will shape the strategies that we use. Your product sense will shape the bets that our technology team makes.
As a Principal Product Data Scientist, you will:

Work with our product leads to develop and refine successful product strategies.
Guide our products to deliver value to our doctors and their patients
Establish the metrics that define team-level OKRs and keep the team focused on those numbers
Structure our data so that you, your team, and other data scientists have a shared source of truth
Represent the work and progress of your cross-functional team to technology and business leadership

You will love this job if:

You are excited when the product is successful, not just when the analysis is right.
You think about how things work in terms of data.
You actively curate your own product sense.
You lead through influence, building the trust and respect of your coworkers through good decisions and thoughtful collaboration

You should get in touch if:

You are an established data scientist, especially if you have also held non data-science roles
You have lead teams that built successful technology products
You are an experimentalist at heart
You have strong statistical, analytical, and technical skills and want to deliver business value with them
Data Scientist Biosensor Analytics at Biofourmis

Data Scientist - Biosensor Analytics
Biofourmis is looking for candidates with Biosensor Algorithms background to solve data science problems in digital health and continuous patient monitoring.
Responsibilities:

Design and develop new health monitoring features, functionalities, and algorithms for low power embedded wearables and/or cloud solutions
Design, prepare and conduct clinical, laboratory and bench studies for feasibility, development and validation
Build pipelines and automation for processing, data analysis, and machine learning model training to accelerate algorithm development
Design, iterate, and optimize algorithmic processes and systems to achieve best in class computational efficiency and clinical performance
Create, refactor, and manage code repositories and releases
Carry out incremental improvements, refinements, and maintenance of algorithms and code base


Work with firmware and back-end and QA engineers to implement algorithms and models in our products and ensure their quality through rigorous testing


Foster collaborative cross functional communication, proper planning, and timely executions
Follow good research development practices and quality management system for product life cycle
Prepare reports for the design, implementations, and verification & validation
Present results and recommendations to cross functional teams and management
Contribute to the company's intellectual property and publications
Be self-driven, motivated and a team player

Qualification & experience:

PhD/MS in Digital Signal Processing, Biomedical Engineering, Computer Science, Electrical Engineering or other relevant discipline
1– 3 years of academia/industrial experience in developing biosensor analytic algorithms for biosensor and or cloud deployment involving complex physiological and actigraphy signals
Solid background and practical expertise in digital/image/statistical signal processing, and machine/deep learning
Hands-on experience in PPG/actigraphy signal processing, embedded sensor hardware development, algorithm integration and testing are a plus
Proficiency in programming using MATLAB, Python and or C/C++
Experience with agile project management, version control, and QMS tools
Strong problem-solving and excellent communication skills
Good track record with patents and/or publications
Must be comfortable working with a mostly remote-based team and colleagues
Senior Data Scientist at Keeptruckin

About the job:
We’re looking for a Senior Data Scientist to build the models that power a key new focus area for KeepTruckin.  As a member of our team you’ll help frame the problems, build models and products that win customers, and leverage machine learning at a massive scale to solidify KeepTruckin’s technology lead in the connected fleet management space.
You’ll embed yourself deep in the world of trucking and help understand the forces that govern it.  Working with geospatial, transportation, and economic data, you’ll help optimize the way freight moves throughout North America.
Responsibilities:

Build, improve, and maintain machine learning models
Apply statistical models and quantitative analysis on large datasets to measure and identify areas for improvement/optimization in the product
Lead the effort for collection of new data and refinement of existing data sources
Identify and help implement tools to analyze this data effectively
Educate and steer the organization towards adopting a more data-driven approach

Qualifications:

Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics
5+ years experience in data science, machine learning, and data analysis
Expertise in applied probability and statistics
Deep understanding of machine learning techniques and algorithms
Expertise in data-oriented programming (e.g. SQL) and statistical programming (e.g., Python, R). PySpark experience is a big plus

KeepTruckin is a rapidly growing startup headquartered in San Francisco. We offer fantastic benefits, a phenomenal office culture, unlimited PTO, and a stocked kitchen with catered lunches daily. 
Please do not let an arrest or conviction record prevent you from applying for employment at KT. KT considers qualified applicants with arrest and conviction records.
Senior Data Scientist at Pecan Ai

With Pecan, organizations can obtain and deploy AI models in days, without relying on data scientists. Pecan is an automated AI-based predictive analytics platform that simplifies and speeds the process of building and deploying predictive models in various customer-related and operational use-cases, such as LTV, Churn, NBO, Risk, and Segmentation. Pecan does not require from its customers any data preparation, engineering or prepossessing - it connects directly to raw data, and uses neural networks to automate the entire predictive process.
Company Highlights: 

Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital. 
90+ employees and growing very quickly
HQ in Tel Aviv with growing sales and marketing organization in the US 
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, Nestle, and SciPlay.

Who You Are & What You'll Do
As a data scientists team member, you will work at the forefront of the data world, optimizing predictive models and assisting our clients to use those predictions to affect their business. In addition to data analysts and scientists you will work closely with the following levels in our client’s organizations:

C - level executives and VPs
Data analysts
DBA’s
DevOps engineers

Together with the team, you will be continuously helping our clients achieve their business goals, reinforce the value of Pecan’s modules, and the ease of use of our platform. 
You will handle complex data science challenges using state-of-the-art techniques such as: custom loss-functions, auto-encoders, embeddings, LSTM and many more.
Requirements 
- 5 years of experience as a data scientist working on tabular data- Bsc in a relevant field- Proficient in Python, SQL, and Spark- Experience in creating measurable value with ml (defining KPI's, designing AB tests, monitoring)- Experience with AWS / Databricks - advantage
 
*This position requires an authorization card in the US.