Research Scientist Computational Biology

About Us
Deep Genomics is a startup company that aims to revolutionize drug development by leveraging expertise in artificial intelligence (AI) to decode RNA biology. Our proprietary platform, the AI Workbench, enables us to decode the enormous complexity of RNA biology to find novel targets, mechanisms, and molecules that are not accessible through traditional methods. We use this advanced technology to develop steric-blocking oligonucleotides (SBOs) that achieve expression increase for the treatment of genetic disease. Founded in 2015, our multidisciplinary team includes expertise in a diverse range of disciplines including those found in a traditional drug company, as well as machine learning, laboratory automation, and software engineering.  Deep Genomics is based in Toronto, Ontario with additional locations in  Cambridge, Massachusetts and Montreal, Quebec.

Where You Fit In
We are seeking a creative and talented Computational Biologist with an interest in using machine learning, large datasets and automation to revolutionize drug development. You will work regularly with and learn from our multilingual team of machine learning scientists, software engineers, computational biologists, molecular geneticists, and wet-lab scientists to help design oligonucleotide therapies.

What you will do:

Aid the design of wet-lab experiments to investigate novel and existing RNA regulatory mechanisms.
Analyze high-throughput drug and sequencing data (e.g. RNA-seq, CLIP-seq, MPRAs, Perturb-seq) to help build machine learning models and design novel antisense oligonucleotides.
Apply machine learning models to design novel antisense oligonucleotides.
Interrogate how antisense oligonucleotides interact with regulatory mechanisms to achieve its effect.
Develop fast and accurate predictive workflows to support target validation and preclinical proof-of-concept for our oligonucleotide therapeutics.

What you bring:

A PhD in a quantitative discipline (e.g. Computational Biology, Computer Science, Applied Mathematics, Statistics, Biostatistics or Physics), or equivalent experience.
At least 2 years of experience with the development of novel algorithms/analysis pipelines for integrative analysis of genomics or other biological datasets.
Ability to design experiments, formulate hypotheses based on data, uncover causal mechanisms, and visualize data.
Working knowledge in machine learning modelling (e.g. neural networks, Bayesian methods, random forests, clustering).Proficient in Python or R.
Comfort working with limited supervision in a fast-paced and rapidly growing work environment.
You are a great communicator, highly organized and are willing to adapt to new situations quickly.

Nice to have:

Post-graduate experience (postdoc or industry).
Experience with RNA biology or antisense oligonucleotides.

What we offer:

A highly competitive salary and meaningful equity compensation (ESOPs)
A wide array of company-paid benefits
Exceptional opportunities for learning and growth working alongside a world-class team of researchers and software developers working at the intersection of the most exciting areas of science and technology.

Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.

Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process


Data Scientist

About Us
Founded in 2015, Deep Genomics is a drug development company that aims to revolutionize medicine by leveraging expertise in artificial intelligence (AI) and genome biology. We have built the world’s first, and most advanced, AI platform that is able to untangle the enormous complexity of RNA biology and find the best targets, mechanisms, and molecules. We take immense pride in our team of people whose backgrounds span a diverse range of disciplines including those found in a traditional biotechnology company, as well as machine learning, laboratory automation, and software engineering. Deep Genomics is located in Toronto, Ontario and Cambridge, Massachusetts.

Where You Fit In
We are seeking a highly motivated data scientist/ bioinformatician with solid programming skills. The successful candidate will have a good understanding of molecular biology, human genetics, and basic statistics, and will take on tasks spanning bespoke analysis of experimental data, data visualization, genomics data processing, and experimental design.

What you will do:

Analyze high-throughput experiments to assess data quality and identify hits.
Support preclinical development programs with computational analyses.
Build tools to automate recurring data analysis.
Collaborate with machine learning scientists and engineers to build tools to streamline design of antisense oligonucleotide compounds

What you bring:

BSc in Computer Science, Bioinformatics, Statistics, or a related field.
Two years of relevant postgraduate experience or a graduate degree in Computer Science, Bioinformatics, Statistics, or a related field.
Understanding of basic concepts in molecular biology and human genetics at the undergraduate level or higher.
Solid statistics knowledge with ability to perform various statistical analyses independently.
Solid knowledge of the Unix shell, Python, and Pandas.
Comfort working in a fast-paced and rapidly evolving work environment.

Nice to have:

Experience with R and cloud computing.
Experience with human genomics data (including next generation sequencing).

What we offer:

A highly competitive salary and meaningful equity compensation (ESOPs).
A wide array of company-paid benefits.
Exceptional opportunities for learning and growth working alongside a world-class team of researchers and software developers working at the intersection of the most exciting areas of science and technology.

Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.

Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.


Data Scientist

Are you ready to join a growing team that puts a premium on productivity and has an award-winning culture, centered around transforming talented employees into effective business leaders?

Then BHG Financial is the place for you. We offer innovative financial solutions to licensed and highly-skilled professionals, representing the best of both traditional lending and fintech, and are looking for passionate, impact players to help take our company to the next level.

At BHG, you’ll become immersed in the finance industry—with a variety of loan solutions, credit cards, patient financing, bank programs, and collections services, which have helped BHG become one of the leading providers of finance solutions.

With over 20 years in business, we have the stability of an established company with the speed and agility of a startup, where ingenuity and risk-taking are encouraged, and every employee has the opportunity to learn, grow and thrive.

Who You Are

You are a motivated Data Scientist who is passionate about driving results and has a creative approach to solving problems. The candidate will be responsible for providing support to the organization with data-driven insights using advanced statistical and modeling techniques. This is a unique opportunity where the data scientist will transform technical insights into actions that affect key aspects of the business.

What You’ll Do

The Data Scientist will apply advanced statistical modeling algorithms to solve complex business problems in marketing (direct mail, email, digital, etc.)
The Data Scientist will interface with stakeholders throughout the organization as you seize opportunities to leverage company data to drive business solutions.
The Data Scientist will evaluate proprietary and vendor data sources for opportunities to create new features and enhance statistical models.
Create tools and processes to standardize and centralize common functions in an analytic toolkit for the benefit of the larger analytics ecosystem, including packages, functions, and feature stores.
Contribute to quantifiable improvements in business decision-making with modeling solutions and strategy recommendations.
Deliver analytic insights and recommendations in compelling presentations
Create model documentation and own model maintenance
Design routines for automated model reporting
Continuously improve a proactive, business-focused framework for testing new data sources to expand or enhance our marketing, decisioning, and portfolio management activities.

What You’ll Need

Master’s/PhD degree in Statistics, Math, Data Science, Operations Research, Engineering, or related quantitative fields
1-3 years of Data Science experience
Proficient with advanced statistical modeling and analysis in R and/or Python
Proficient with writing SQL queries, and ability to work with large datasets
Ability to drive the action of modeling & analytics projects with guidance
Strong communication skills: written, verbal, presentation, and storytelling with data
Modeling experience with FCRA-regulated data (e.g., credit bureau attributes) is a plus
R Shiny programming ability is a plus
Analytics experience in a cloud environment a plus

Life at BHG
At BHG, we work hard and aren’t afraid to take risks. Since the beginning, our core values of PMA (positive mental attitude), team player and loyalty have been the driving force behind every interaction we have between each other and our customers. We have a healthy respect for the daily grind, yet we value work/life balance. We believe that all employees should have the opportunity to lead and that good ideas can come from anyone. From the top-down, our leaders are actively involved not only in strategic oversight and running the business, but also in the wellbeing and growth of all employees. We consider people our #1 asset, and help employees realize their full potential, set and exceed their goals, and explore new opportunities for personal and professional development.

Why You Should Join BHG
We strive to offer amenities, opportunities, events, and programming that support the interests of our teams, while furthering the culture that makes us Great Place to Work® certified. Some of the benefits you can expect when you join BHG include:

·         100% coverage of monthly health insurance premiums

·         Competitive PTO and vacation policies

·         Company 401(k) plan with employer contributions after one year

·         On-site gym access and memberships, with personal trainers, and certified nutritionists on staff

·         Company-sponsored training and certification opportunities

·         Quarterly award ceremonies where top achievers are celebrated and receive additional bonuses

·         Ongoing volunteer opportunities to give back to the community through our BHG Cares program

If you’re ready for a career where you can exercise your passions, be surrounded by co-workers who are relentlessly committed to service, and have a team-player mindset, apply today!

** All Remote employees at BHG Financial are required to work within the United States of America.

BHG Financial is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. BHG Financial is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.

#LI-Remote


Data Scientist

About us:
We’re on a mission to unlock more rewarding relationships between merchants and their customers, starting with changing the way we pay for things online. Backed by Sequoia, Index Ventures, and Forerunner, as well as the founders of Affirm, Warby Parker, Allbirds, Casper, and DoorDash, Catch is a new payment service that allows both merchants & consumers to save money by cutting out credit card processing fees. Everyone wins – except the big banks!

We’re a fully distributed, tight-knit team of ~45 today. Building a diverse team is paramount to our success and fostering a healthy company culture, and we’re committed to an equitable interviewing process for all candidates.

The Role:
The data scientist in this role will have two core responsibilities:

Primarily, they will be responsible for end-to-end ownership of the data, analytics and machine learning that powers our fraud and risk engines. This person will join a cross-functional team of product managers, software engineers and operations managers to improve Catch’s fraud-fighting capabilities. This work will require thinking strategically, developing metrics, performing analysis, and building rules/ML models to identify would-be fraudsters.

Secondarily, this person will support the wider data science and analytics functions within Catch. As a data science leader, this person will be responsible for setting the direction and roadmap of our data science function at Catch, while supporting company-wide data science needs such as analyzing experiments, maintaining our data infrastructure, and improving our data efficiency.

What will you do?
- Work cross-functionally with product managers, software engineers and operations managers to build a comprehensive fraud-fighting product
- Analyze data, find trends and develop rules/ML models to identify would-be fraudsters
- Maintain metrics and KPIs to understand our performance in preventing fraud
- Own company-wide data science functions such as experimentation, data infra and dashboarding
- Develop data science strategy and roadmap for both fraud and company-wide data science needs
- Contribute to Catch product strategy by providing data-backed insights

What skills and experience do you need?
- 3+ years of relevant data science or fraud/risk analytics experience
- Proficiency in a scientific computing language and environment (e.g. python/pandas/jupyter, R, matlab, etc.)
- Proficiency in a querying language (e.g. SQL)
- Proficiency in data analysis, data exploration and data visualization
- Experience with ML systems - specifically classifiers
- Experience with experimentation and A/B testing
- Strong communication skills, with the ability to create data-backed arguments to influence stakeholders
- Prior experience with risk/fraud

Some additional experience is nice to have, but not necessary:
- Experience with modern data stacks and ETL/ELT systems
- Experience working within a startup environment and scaling a data science function

Catch’s Employee Benefits (not exhaustive & will grow over time):
- Comprehensive medical, dental, and vision
- Generous family leave policy— four months for either parent
- Unlimited vacation (and we encourage folks to take the time off that they need)
- Focus Fridays: No internal meetings on Fridays so you can end the week with focus time!
- A $500 Home Office Stipend to set up your work from home space
- A $500 per year Learning & Development stipend for personal & career growth
- $50 in Catch credits every month to spend at our merchants

Catch is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. So if you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat and see if you could be a great fit.

The annual salary range for the expected level for this role is $160,000- 180,000 at time of posting. Compensation also includes equity and comprehensive benefits. Final offer amounts are determined by multiple factors including candidate experience and expertise, and may vary from the amounts listed above.


Sr Data Scientist Credit Strategy

About us

Hi there, we're Yendo, and we are improving the way people finance their daily lives.
💳 100 million Americans lack access to sustainable credit and are forced to use predatory loans. Think 500%+ APR alternative financing options such as Auto Title, Payday, Pawn, and Personal Loans. Each year almost 25% of adults are excluded from the mainstream credit system, severely inhibiting their chances of accessing affordable borrowing, getting a mortgage, or even an auto loans.
📱 We are using modern technology to instantly value a borrower's vehicle and issue a vehicle secured credit card that is ~96% cheaper than current options for those denied by traditional loan products. Yendo Credit Cards are standard-interest 24% APR with no hidden fees or overdraft charges and help build their customers' credit score.

👨💼 Our executive team previously built a business that scaled to $100M ARR and has extensive experience in collateralized lending in under-developed credit markets.

🧠We are backed by leading VCs, accomplished entrepreneurs, respected philanthropists, and founders from across the U.S. Our backers are the minds and investors behind the success of the Apple Card, Brex, Dave, Scribd, Parse, Canva, Robinhood, Flexport, Gusto, Reddit, Notion, LinkedIn, among others.

Stage: Series A
Total Funding: $33M

Yendo is based in Dallas, Texas with nationwide team. This role is in our office in the Deep Ellum area of Dallas.

💰Competitive Compensation
📈Equity
🍎Insurance
📊 401K
🏝Unlimited PTO

About the role

We are seeking an innovative, data-driven professional to further develop and refine Yendo’s credit strategy. Yendo uses various alternative and collateral based data sets to provide affordable finance to those locked out of the traditional underwriting system.

In this role, your mandate is to build the foundation for a resilient and mission driven credit strategy program. You will work closely with cross functional teams including Product, Data Science, and Engineering teams to bring new lending programs to life.

We are working day-in and day-out to defeat predatory lending and unlock affordable finances for 100 million people. No task is too small for anyone within Yendo. This is an aggressive, fast-paced, and fun environment. A work-hard, play-hard mindset is required to do well here.

What your day-to-day will look like

Developing and implementing credit strategies based on analytics (e.g. SQL, Python) and strategic long term thinking.
Owning a full lifecycle of credit policy changes from ideation through execution.
Monitoring consumer loan performance to constantly innovate and improve credit policy.
Ensuring loan portfolios meets the company's risk tolerance.
Additional duties as assigned by your manager.
Act as a key member of a small, elite team, influencing company strategy, culture, and road map
Win.

Who you are

7+ years experience in credit / consumer finance risk strategy
You have a master's degree in a highly quantitative field (Statistics, Economics, Mathematics, or a related highly quantitative degree) required
Proven track record of developing and managing a consumer credit risk program in a bank or other consumer lending program
An innovative thinker. Yendo’s product is highly disruptive and requires a significant level of creativity.
Experience in consumer fintech or risk-based products is a plus.
Willingness to be deep in the details while also being able to create and communicate higher level strategy
You are competitive and want to win.
Self-starter attitude and ability to work independently
Passionate about financial inclusion and mobility
Demonstrated ability to partner effectively across the organization.
Self-starter and ability to build programs from scratch.
Must have a positive attitude and willingness to roll-up their sleeves and get things done.
Strong interpersonal skills and the ability to cultivate relationships with senior leadership

We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you’re excited about the opportunity and willing to learn, we’d love to hear from you!

In order to thoughtfully scale the company and avoid downstream inequities, we’ve adopted a flat titling structure at Yendo. Though we may occasionally post a role externally with a prefix such as “Senior” to reflect the external level of the position, we do not use prefixes in titles like that internally unless in a position which manages a team. Internal titles typically include your specific functional responsibility, such as engineering, product management or sales, and often include additional descriptors to ensure clarity of role and placement within our organization (i.e. “Engineer, Platform”, “Sales, Business Development” or “Manager, Talent”). Employees are paid commensurate with their experience and the internal level within Yendo.


Data Scientist

Gloo was founded as a mission-driven organization with the goal to release the passion in every person to Champion the growth of another so they can be all they were born to be.

Today, organizations of all sizes in the faith space use Gloo’s products to become more informed, better connected, and fully equipped to overcome their greatest challenges and achieve powerful outcomes, helping people progress through their personal growth journeys.

By building a common platform, we are creating a shared infrastructure that removes friction, promotes collaboration, and equips leaders with the right tools to galvanize personal growth and change lives. We are a fast-moving and passionate team that is looking for more talented professionals who are driven to make a positive impact.

The Opportunity:

As a Data Scientist you’ll bring 3+ years of modeling experience to apply to Gloo’s Product line. You’ll jump to prototype ideas and showcase the value of predictive analytics. You’ll be building and deploying machine learning models as data products. In other words, you will make a big impact at Gloo!

The Team:

As part of a team of specialists, the data science team is responsible for understanding use cases, coming up with solutions, testing ideas, and deploying models to a production environment.  The culture of our team is extremely important to us. We want you to be engaged in your projects, voice your ideas, have full ownership from end to end, and be proud of what you accomplish.

What You'll Be Doing:

Recommending and testing proposed solutions
Performing the analysis and/or modeling for proposed solutions
Working with engineering and product to design solutions
Building text classification and other NLP models
Contribute to MLOps Infrastructure
Measuring effectiveness of proposed solutions
Explaining impact and value of modeling to stakeholders

What We're Looking For:

A bachelor's degree in computer science, engineering or related field – commensurate experience may substitute for degree requirements
3+ years of data science experience
A love for talking about the applications of data!  You can easily explain an ROC curve, a lift chart, and recommend testing strategies for model improvements
Proficiency with a query language such as SQL
Proficiency with Python
Proficiency with text classification and NLP modeling techniques
Experience with machine learning operations and deploying models
Ability to design and code reports that showcase modeling’s value and insights
Instinctive thought process for determining if modeling outputs are correct
Keen interest in assessing model accuracy and projected performance
Strong critical thinking skills for effective troubleshooting
Ability to prioritize work based on stakeholder input; can effectively manage a backlog
A drive to help others – it feeds your soul
Experience with AWS and SageMaker services (Preferred but not Required)

Compensation:  $100,000-$140,000

Our Team Members Enjoy:

Compensation and bonus commensurate with experience
Plenty of time off to keep you balanced
Medical benefits with multiple plan offerings, HSA contribution, and Dental and Vision plans
A dynamic, talented team, dedicated to changing the world and building an incredible business
Onsite and virtual social events to keep us connected in our hybrid work environment
Beautiful office space in downtown Boulder on Pearl Street, steps from coffee shops and blocks from hiking trails

Applicants offered employment will be required to provide evidence of authorization to work in the United States, and will be required to work from a physical location within the United States in accordance with Gloo’s Remote Work Policies.


Head Of Data Science

About ClimateAi
ClimateAi is on a mission to climate-proof the economy while aiming for zero loss of lives, livelihoods and nature. We use AI to predict the risk of climate change, water and biodiversity.  We then generate actionable insights that help stakeholders build strategies for their operations, supply chain planning, and regulatory disclosures.
We are a fast-growing Series-B company with its roots in the dorms of Stanford University.  The platform was in TIME's Best Inventions list for 2022. We're seeking an innovative, passionate, team-oriented Head of Data Science to join our growing team.

Culture
Everyone at ClimateAi is driven by a united passion to tackle climate change. We don't sell to customer accounts that we see as negatively impacting climate outcomes. We believe in a culture of absolute truth and transparency, where feedback is considered an opportunity for us to contribute to each other's personal and professional growth. We recognize the value of diversity and are an equal opportunity employer.
We hire people who are collaborative, adaptable, communicate well, and love to learn. Expect to give and receive constructive criticism, as we are constantly seeking to push the innovation frontier while simultaneously growing as individuals and as a team.

About the role
The head of data science will be focused on three main areas. Operational Data Science management, R&D development and Data Science Communication. The operational data science management role will be continuing the development of our CMIP6 post processing pipeline and S2S forecasting system that merges statistical and dynamical models. On R&D will conduct cutting-edge applied research at the intersection of climate and data science. Finally will work closely with Product, Engineering and Solutions to communicate and translate the data science work to internal and external stakeholders. This individual should be able to work remotely and manage team leaders.

Role responsibilities

Set roadmap and OKRs for data science team
Conduct weekly 1 on 1 with team leads and quarterly teamwide reviews
Communicate vision and execution details to internal and external stakeholders
Drive innovation forward
Review all Data Science projects and technical specs for coherence and alignment

Qualifications

Experience leading a data science team
Data Science background (Climate Science background a plus)
Proven ability to hire and grow teams

What we offer you

Competitive salary.
ClimateAi stock plan.
Medical, dental, vision benefits.
Learning budget per year.
Discretionary Time Off policy for many employees.
Flexible working hours on many teams.
Culture of diversity and inclusion including employee resource groups.
Work with cool people and be part of the mission to help the world.

$150,000 - $220,000 a year
The compensation information above is provided in compliance with job posting disclosure requirements in Colorado, New York, New Jersey, Washington, and California.  Actual base pay will depend on varying circumstances, including the position, location, individual qualifications, market finances, and other operational business needs.

Added Benefits:
Employees may expense relevant learning, growth, and personal development.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Jr Innovation Data Scientist

About ClimateAi
ClimateAi is on a mission to climate-proof the economy while aiming for zero loss of lives, livelihoods, and nature. We use AI to assess the impacts of climate change, water scarcity, and declining biodiversity for businesses and government agencies around the world.

We are a fast-growing Series-B company with its roots in the dorms of Stanford University. The platform was in TIME's Best Inventions list for 2022. We're seeking an innovative, passionate, team-oriented Junior Innovation Data Scientist to help build a better tomorrow.

As a Junior Innovation Data Scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and trends across a wide range of spatial and temporal scales. You will work closely with other members of the innovation and data science teams to develop and implement algorithms that can be used to enhance climate forecasts and to uncover novel dynamics in the relationship between humans and natural systems.

Culture
Everyone at ClimateAi is driven by a united passion to tackle climate change. We don't sell to customers that we see as negatively impacting climate outcomes. We believe in a culture of absolute truth and transparency, where feedback is considered an opportunity for us to contribute to each other's personal and professional growth. We recognize the value of diversity and are an equal opportunity employer.

Responsibilities:

Analyze and interpret complex data sets to identify patterns and trends
Develop and implement machine learning models and algorithms
Work in collaboration with Innovation team to develop new products and services
Work in collaboration with Engineering to integrate new tools into core product
Communicate findings and insights to a variety of stakeholders

Qualifications:

Ability to write well-documented and well-structured code
Basic understanding of statistics – including familiarity or experience with probability theory and time-series analysis
Experience analyzing and visualizing relatively large geospatial datasets
BS in physical / environmental science, computer science, engineering, or similar

Preferred Skills:

Knowledge of Python (familiarity with R, SQL, or JavaScript is an asset)
Experience with collaborative data development (familiarity with Jupyter Notebook and GitHub is an asset)
Experience manipulating geospatial data (GIS) in Python or R (familiarity with QGIS, Whitebox, or GRASS is an asset)
Experience communicating complex findings to a non-technical audience

What we offer you:

Competitive salary.
ClimateAi stock plan.
Medical, dental, vision benefits.
Learning budget per year.
Discretionary Time Off policy.
Flexible working hours.
Culture of diversity and inclusion including employee resource groups.
Work with cool people and be part of a mission to help the world.

Location
San Francisco Bay Area, CA / North America remote.

Compensation
Aligned with the best standards of the city you will be working from, commensurate with experience.

Added Benefits
Employees may expense relevant learning, growth, and personal development.Application DeadlineX, 8 PM Pacific time. We are accepting applications on a rolling basis.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Data Science Intern

About ClimateAi

ClimateAi is on a mission to climate-proof the economy while aiming for zero loss of lives, livelihoods and nature. We use AI to predict the risk of climate change, water and biodiversity.  We then generate actionable insights that help stakeholders build strategies for their operations, supply chain planning, and regulatory disclosures.
We are a fast-growing Series-B company with its roots in the dorms of Stanford University.  The platform was in TIME's Best Inventions list for 2022. We're seeking an innovative, passionate, team-oriented Chief of Staff to join our growing team.

Culture

Everyone at ClimateAi is driven by a united passion to tackle climate change. We don't sell to customer accounts that we see as negatively impacting climate outcomes. We believe in a culture of absolute truth and transparency, where feedback is considered an opportunity for us to contribute to each other's personal and professional growth. We recognize the value of diversity and are an equal opportunity employer.

About the Role

We are a young startup, looking for a passionate candidate who can contribute to our mission to deploy impactful solutions to the most important issue of our generation. Our focus will be on developing climate resilience tools for various sectors, with agriculture as our initial market. We have an opening for a data scientist to work at the intersection of environmental modeling, climate change, and machine learning.
Also, the candidate will be working on shaping the vision of the company with the founders and building a brand around climate sustainability. We hire people who are collaborative, adaptable, communicate well, and love to learn.

Main Responsibilities:

The candidate will primarily work on the development of our operational weather and climate prediction product. This involves wrangling and combining several data streams from different sources such as web APIs, 2D and 3D climate datasets, satellite data, etc. Further, there will be an active research component looking at how to constantly improve our product through advanced machine learning techniques.
The candidate will be supervised by our senior data scientist and work in close collaboration with the software engineering team. Familiarity with a range of techniques and tools to process data in Python is a requirement. Experience with packaging and modularizing Python code is a plus.
The ideal candidate will be comfortable working with a close team in a fast-paced environment. Communicating between climate scientists and software engineers will be crucial. Expect to give and receive constructive criticism as we foster a highly dynamic, fast-paced, collaborative work environment focused on rapid learning and adaptation. While we are interested in all qualified applicants, the position is well suited for someone with a BS/MS in a relevant field and demonstrated strong coding skills.
Work will be remote. Any location within a US/European time zone is possible.

Preferred Qualifications:

BS/MS in computer science, applied math, physics or environmental science
Experience handling data in Python: Pandas, xarray, numpy, etc.
Familiarity with environmental or geographical data
Familiarity with basic concepts of statistics/machine learning
Experience writing packaged Python code
Experience with Git and working on the cloud
Most importantly, candidate must have a passion for working on tackling issues at the cutting edge of climate change adaptation and resilience.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If this sounds like you, we want to hear from you.


Applied Research Scientist

Our vision is to build the next-generation platform for fast and easy creation of audio and video content. In October 2020, we took a huge leap forward by launching a cloud based collaborative video editor and a screen recorder.  We have built and shipped some key technologies like voice cloning, one-click speech enhancement, etc. to help us realize our vision. We're used by some of the world's top podcasters and influencers as well as businesses such as BBC, ESPN, Hubspot, Shopify and Washington Post for communicating via video. We've raised $100M from some of the world's best investors like OpenAI, Andreessen Horowitz, Redpoint Ventures and Spark Capital.

We need great people to help us build these cutting-edge technologies and guide its development. In particular, we’re always looking to hire smart applied research scientists. You will join a team of around a dozen researchers specialized in generative models and deep learning.

Some of our research publications:

SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.
Char2Wav: End-to-end Speech Synthesis.
ObamaNet: Photo-realistic lip-sync from text.
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Wav2CLIP: Learning Robust Audio Representations From CLIP

Responsibilities

Oversee research process implementation, from problem definition all the way to running and analyzing concrete research experiments.
Collaborate and communicate clearly and efficiently with the rest of the team about the status, results, and challenges of your current tasks.
Contribute to designing the research roadmap of the company
Train and mentor other members of the team.
Own the research function of specific product features.

Challenges

As a core member of our research team, you'll play an integral role in challenges such as:

Using deep learning (including but not limited to NLP, speech processing, computer vision, etc.) to solve problems for media creation and editing.
Creating realistic voice doubles using only a few minutes of audio.
Creating tools to synthesize photo-realistic videos that match our Overdub (personalized speech synthesis) feature.
Designing and developing new algorithms for media synthesis, anomaly detection, speech recognition, speech enhancement, filler word detection, audio and video tagging etc.
Coming up with new research directions to improve our product

Requirements

Proven experience in designing and implementing deep learning algorithms.
PhD or Master’s degree specialized in Deep Learning or equivalent experience.
Track record of developing new ideas in machine learning, as demonstrated by one or more first author publications or projects.
Good programming skills and experience with deep learning frameworks.
Ability to generate more ideas than you can implement.
Implementing a given idea is easy and efficient. Once the experiment set up is established, you’re able to implement many ideas per day, evaluate them, and organize your time to be productive and efficient.
You wish you had more GPUs to run all the experiments that you wanted!
You know Pytorch/Tensorflow inside-out
We do not require domain-specific knowledge in computer vision or speech-processing

At least one of the following must be true for the applicant to be considered:

Lead author of an accepted publication in one of the top conferences: ICLR, ICML, NeurIPS, ICASSP, ICCV, CVPR, InterSpeech, etc.
Played a key role in shipping a feature in production which uses deep learning as a key component.

The base salary range for this role is $180,000- $235,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.


Applied Ai Research Manager

Our vision is to build the next-generation platform for fast and easy creation of audio and video content. In November 2022, we took a huge leap forward by launching Storyboard, the video editing foundation that we’re excited to build atop AI capabilities like Overdub, Studio Sound, and other generative AI capabilities in the near future. We're used by some of the world's top podcasters and influencers as well as businesses such as BBC, ESPN, Hubspot, Shopify and Washington Post for communicating via video. We've raised $100M from some of the world's best investors like Andreessen Horowitz, OpenAI Startup fund, Redpoint Ventures and Spark Capital.
We’re looking for a strategic thinker who has a strong product and technical acumen to lead our Applied AI Research team and shape the product and business in the coming years via the cutting edge advancements in AI. You’ll be managing a talented team of AI Researchers specialized in generative models and deep learning and will report directly to the VP of Engineering.
Some of our research publications:

SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.
Char2Wav: End-to-end Speech Synthesis.
ObamaNet: Photo-realistic lip-sync from text.
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Wav2CLIP: Learning Robust Audio Representations From CLIP

Job Responsibilities
The Applied AI Research Manager will be responsible for managing and leading our Applied AI Research team in developing and implementing cutting-edge AI technologies for the Descript product. The responsibilities include:

Leading research projects and ensuring their timely completion
Collaborating with other teams to integrate AI technologies into real-world products
Mentoring and managing a team of research scientists and engineers
Developing and implementing research strategies
Staying up-to-date with the latest developments in AI technology and incorporating them into our research
Representing the company in conferences and events

Qualifications
The ideal candidate will have:

PhD or Master’s degree specialized in Deep Learning or equivalent experience.
3+ years in managing AI teams and 5+ years of experience with building deep learning models
A track record of leading and shipping research projects in production
Experience in managing and mentoring research scientists
Strong knowledge of deep learning (and ideally generative models)
Excellent communication and interpersonal skills

The base salary range for this role is $200,000- $260,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.


Senior Data Scientist

Grammarly team members in this role must be based in the United States or Canada, and they must be able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub(s) where the team is based.
The opportunity
Every day, tens of millions of people and 50,000 professional teams rely on Grammarly’s AI-enabled communication assistance to help them communicate confidently and achieve their goals. Our team members have the autonomy to take on exciting challenges in pursuit of our mission to improve lives by improving communication. Together, we’re building on more than a decade of steady growth and profitability. We’re defining the communication assistance category for individuals, enterprises, and developers with tailored service offerings: Grammarly Premium, Grammarly Business, Grammarly for Education, and Grammarly for Developers. All of this begins with our team collaborating in an inclusive, values-driven, and learning-oriented environment.
To achieve our ambitious goals, we’re looking for an experienced Data Scientist to shape Grammarly's experimentation and modeling roadmap across the product and marketing teams. A Data Scientist in this role would:

Advance our statistical rigor and methodologies.
Accelerate the cadence and quality of experiments.
Partner closely with the marketing team to measure and optimize marketing channel incrementality using Causal Impact or equivalent approaches.
Develop cross-channel measurement models such as MediaMixModeling to optimize budget allocation.

Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems and provide solutions with high visibility and impact for the company.
Grammarly’s Data Scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist, you will:

Take on a broad scope of work and an evolving role at a rapidly growing company.
Conduct deep-dive analyses into user behavior.
Quantitatively study large user segments.
Develop user segment targeting strategy.
Drive direction on the Product and Growth teams.
Identify new product and growth opportunities.
Opportunity-size new strategic levers.
Provide data-driven solutions to complex product and growth questions.
Define advanced metrics.
Advise on experimentation strategy.
Identify strategic data needs.

We’re looking for someone who

Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
Holds a PhD or master’s degree in a quantitative field.
Has 3+ years of relevant work experience.
Has experience as an influential and effective thought partner to product teams.
Demonstrates strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient in SQL, Python, R, Scala, or an equivalent language.

Support for you, professionally and personally

Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We support professional development and advancement with training, coaching, and regular feedback.

A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities, such as BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.

Compensation and benefits
Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more:

Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
Disability and life insurance options
401(k) and RRSP matching
Paid parental leave
Twenty days of paid time off per year, eleven days of paid holidays per year, and unlimited sick days
Home office stipends
Caregiver and pet care stipends
Wellness stipends
Admission discounts
Learning and development opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index. For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information.
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.
United States:
Zone 1: $211,000 – $253,000/year (USD)
Zone 2: $190,000 – $228,000/year (USD)
Zone 3: $180,000 – $215,000/year (USD)
Zone 4: $169,000 – $202,000/year (USD)
We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).
Please note that EEOC is optional and specific to US-based candidates.
#NA


Senior Data Scientist Experimentation Platform

Grammarly team members in this role must be based in the United States or Canada, and they must be able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub(s) where the team is based.
The opportunity
Every day, tens of millions of people and 50,000 professional teams rely on Grammarly’s AI-enabled communication assistance to help them communicate confidently and achieve their goals. Our team members have the autonomy to take on exciting challenges in pursuit of our mission to improve lives by improving communication. Together, we’re building on more than a decade of steady growth and profitability. We’re defining the communication assistance category for individuals, enterprises, and developers with tailored service offerings: Grammarly Premium, Grammarly Business, Grammarly for Education, and Grammarly for Developers. All of this begins with our team collaborating in an inclusive, values-driven, and learning-oriented environment.
To achieve our ambitious goals, we’re looking for an experienced Data Scientist to own Grammarly's experimentation framework from the perspective of statistical testing and metrics. This role requires deep domain knowledge of statistical methods, experimentation best practices, experience developing experimentation platform tooling, and technical leadership skills. A Data Scientist in this role would:

Shape the roadmap and experimentation best practices for teams across Grammarly.
Advance our statistical rigor and methodologies.
Accelerate the cadence and quality of experiments.
Partner closely with Engineering to enable our ability to scale.

Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategies. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems and provide solutions with high visibility and impact for the company.
Grammarly’s Data Scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist in this role, you will:

Take on a broad scope of work and an evolving role at a rapidly growing company.
Evaluate current experimentation practices across the organization and identify opportunities for improvement.
Develop best practices for experimentation capabilities across the organization.
Collaborate with cross-functional teams, including engineering, product, and marketing, to define and track key performance indicators (KPIs) for experiments.
Conduct literature reviews and share best practices with the organization, providing guidance and support for stakeholders involved in experimentation design and review
Conduct deep-dive analyses into user behavior.
Drive direction on the Product and Growth teams.
Opportunity-size new strategic levers.
Provide data-driven solutions to complex product and growth questions.

We’re looking for someone who

Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
Holds a PhD or master’s degree in a quantitative field.
Has 5+ years of relevant work experience.
Has experience as an influential and effective thought partner to product teams.
Demonstrates strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient in SQL, Python, R, Scala, or an equivalent language.

Support for you, professionally and personally

Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We support professional development and advancement with training, coaching, and regular feedback.

A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities, such as BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.

Compensation and benefits
Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more:

Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
Disability and life insurance options
401(k) and RRSP matching
Paid parental leave
Twenty days of paid time off per year, eleven days of paid holidays per year, and unlimited sick days
Home office stipends
Caregiver and pet care stipends
Wellness stipends
Admission discounts
Learning and development opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index. For more information about our compensation zones, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information.
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.
United States:
Zone 1: $226,000 – $281,000/year (USD)
Zone 2: $203,000 – $253,000/year (USD)
Zone 3: $192,000 – $239,000/year (USD)
Zone 4: $181,000 – $225,000/year (USD)
We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).
Please note that EEOC is optional and specific to US-based candidates.
#NA


Data Scientist Mobile

Grammarly team members in this role will collaborate in person 2 weeks per quarter, traveling if necessary to different hubs. They are required to live within a commutable distance of their home hub of San Francisco. Grammarly may provide relocation assistance.
The opportunity
Every day, tens of millions of people and 50,000 professional teams rely on Grammarly’s AI-enabled communication assistance to help them communicate confidently and achieve their goals. Our team members have the autonomy to take on exciting challenges in pursuit of our mission to improve lives by improving communication. Together, we’re building on more than a decade of steady growth and profitability. We’re defining the communication assistance category for individuals, enterprises, and developers with tailored service offerings: Grammarly Premium, Grammarly Business, Grammarly for Education, and Grammarly for Developers. All of this begins with our team collaborating in an inclusive, values-driven, and learning-oriented environment.
To achieve our ambitious goals, we’re seeking a highly skilled Data Scientist to join our team and work on our mobile keyboard product. The ideal candidate will have a strong product sense and be able to work collaboratively with cross-functional teams to develop data-driven solutions. A Data Scientist in this role would:

Analyze user behavior data and identify patterns and trends to drive product decisions.
Collaborate with cross-functional teams to design and implement experiments and A/B tests to validate hypotheses and measure the impact of product changes.
Work closely with Product Managers, Engineers, and Designers to identify opportunities for data-driven product improvements.
Communicate complex data analysis and insights to both technical and non-technical stakeholders.

Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategies. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with strong technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company.
Grammarly’s Data Scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist, you will:

Take on a broad scope of work and an evolving role in a rapidly growing company.
Conduct deep-dive analyses of user behavior.
Quantitatively study large user segments.
Develop user segment targeting strategy.
Drive direction on the Product and Growth teams.
Identify new product and growth opportunities.
Opportunity-size new strategic levers.
Provide data-driven solutions to complex product and growth questions.
Define advanced metrics.
Advise on experimentation strategy.

Identify strategic data needs.

We’re looking for someone who

Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Is able to collaborate in person 2–3 weeks per quarter, traveling when necessary to the hub where the team is based.
Holds a Master’s degree in a quantitative field.
Has 3+ years of relevant work experience.
Has experience as an influential and effective thought partner to product teams.
Demonstrates strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills and a strong bias toward actionable insights.
Ability to work in a fast-paced, dynamic environment.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient in SQL, Python, R, Scala, or an equivalent language.

Support for you, professionally and personally

Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We support professional development and advancement with training, coaching, and regular feedback.

A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities, such as BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.

Compensation and benefits
Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more:

Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
Disability and life insurance options
401(k) matching (US only)
Paid parental leave
Twenty days of paid time off per year, eleven days of paid holidays per year, and unlimited sick days
Home office stipends
Caregiver and pet care stipends
Wellness stipends
Admission discounts
Learning and development opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index. For more information about our compensation zones, please refer to this page.
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this San Francisco-based position are outlined below and may be modified in the future.
San Francisco:
Zone 1: $197,000-$244,000/year (USD)
We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).
Please note that EEOC is optional and specific to US-based candidates.


Data Scientist

Predictive analytics and machine learning power Socure’s groundbreaking technology and fuel our mission to verify 100% of good identities in real time and completely eliminate identity fraud on the internet.Socure is the world leader in digital identity verification and fraud prevention. Our recent awards include Forbes 2022 America’s Best Startup Employers, The Forbes Cloud 100, The Deloitte Technology Fast 500, and Inc. 5000’s fastest growing companies. Listen to why some of the world’s top technology investors see the enormous, transformative potential in Socure’s mission and products: https://www.youtube.com/watch?v=ifM9_jPQCv8We are seeking a highly motivated and skilled individual to join our computer vision and data science group as a Data scientist to support the computer vision team. The successful candidate will be responsible for performing a wide range of tasks related to analyzing product and model performance, dataset curation and cleaning, model governance and bias analysis, and product BI and metrics.What You'll Be Doing:Run analysis on product performance using Python, SQL:
Analyze large data sets using Python, SQL and other data science tools to identify trends, patterns and insights related to product performance.
Design and implement automated data processing pipelines to streamline data analysis and reporting.
Work with cross-functional teams to develop actionable insights that drive business decisions.
Interact with clients and external personnel:
Collaborate with clients and external stakeholders to identify business requirements, understand their needs and provide support as needed.
Communicate complex technical concepts in a clear and concise manner to non-technical stakeholders.
Build and maintain strong relationships with clients and external personnel to ensure customer satisfaction.
Work on dataset curation and dataset cleaning for computer vision training:
Clean, preprocess, and curate large-scale datasets for computer vision training.
Identify and address issues with the dataset, such as missing or erroneous data, class imbalance, and bias.
Develop and implement strategies to improve dataset quality and diversity.
Work on product BI and metrics:
Develop and implement dashboards and other data visualization tools to provide insights into product performance and user behavior.
Identify key performance indicators and develop metrics to track and measure product success.
Analyze product usage and customer feedback to identify areas for improvement.
Work on model governance and bias/disparate analysis of different machine learning models:
Develop and implement policies and procedures for model governance and bias/disparate analysis.
Identify and address bias and disparate impact in machine learning models.
Develop and implement strategies to improve model fairness and accuracy.
What You’ll Bring:
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Strong programming skills in Python and SQL
Strong analytical and problem-solving skills..
Up to 2 years’ experience working with large-scale datasets and data processing pipelines.
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Ability to work independently and in a team environment.
Strong attention to detail and ability to manage multiple projects simultaneously.
Experience with computer vision, machine learning models, deep learning frameworks and libraries is a plus
If you are a self-starter who is passionate about data science and computer vision and wants to work in a dynamic and innovative environment, we encourage you to apply for this exciting opportunity.Salary Disclosure:Base Salary range: $95,000 - $115,000This represents the expected salary range for this job requisition. Final offers may vary from the amount listed based on factors including geography, candidate experience and expertise, and other job related factors. Socure's compensation and rewards package for full time roles includes a market competitive salary, equity,  comprehensive benefits, and, for applicable roles, commissions plans or an annual discretionary performance bonus. This position is eligible for a generous sales incentive bonus. Socure is all about encouraging people to push the boundaries of what’s possible through top-tier performance, innovation, ownership, and shared expertise.We empower excellence by providing great perks and benefits to both our fully remote employees in North America and our hybrid teams in India.To learn more, check out Socure’s Career Page: https://www.socure.com/company/careersSocure is an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.To learn more about how our work is changing the world, check out these articles and videos:
Socure is Forbes' 2022 Best Startup Employer: bit.ly/3fbNw8S
Socure Accelerates Onboarding for 50+ Crypto, Neobanks, and More: https://bit.ly/3dwN2K7
Socure's Impact on Financial Inclusion: https://www.youtube.com/watch?v=Y6nBc6s1wsU
Socure's Impact on Fraud Prevention: https://www.youtube.com/watch?v=M46UG8QyKe4
Archives & Press Releases: https://learn.socure.com/about/press-release


Senior Data Scientist Deep Learning

About us
At Udemy, we’re on a mission to improve lives through the power of learning. We’re a leading global learning company and one of the world’s largest education platforms, with more than 57 million learners. Our goal is to provide flexible, effective skill development to empower organizations and individuals.
Talented people are everywhere, and the right opportunity can be hard to come by. That’s why we’re focused on revolutionizing learning, using our skills and expertise to help others develop theirs and reach their full potential. Individually, we bring our unique perspective to reimagine the way we share knowledge. Together, we can improve lives by making learning more accessible for our learners, our instructors, and businesses around the world.
Udemy is headquartered in San Francisco with global offices in Australia, India, Ireland, Türkiye, and the US. Learn more on ourcompany page.
About you
You’re an analytical problem-solver ready to put your skills toward purposeful work that has a global impact. You want to lead the way in innovation, exploring the latest technologies and finding new solutions. You thrive in a collaborative environment and are eager to work with and learn alongside the best in Product, Design, and Engineering.
About this Role
In this role, you will build products that leverage deep learning. You will work as part of a cross-functional agile team that includes data scientists, machine learning engineers, software engineers, designers, and product managers. Success in this role requires a combination of product intuition, data analysis skills, deep learning knowledge, and the coding chops to dive head first into development on production systems.
Responsibilities
Collaborate with PMs, designers, and engineers to scope and build data products.
Perform statistical analysis, feature engineering, model development, and offline evaluation for AI products.
Develop key metrics and monitor performance of the products.
Design and analyze experiments.
Develop production-grade applications and data pipelines to power AI products.
Proactively influence product prioritization through data-driven insights.
Build Udemy’s technical brand through talks, blog posts, and publications.
Qualifications
2+ years of experience building complex data products
3+ years of hands-on industry experience in a data science-oriented role
Strong knowledge of statistics, machine learning, and deep learning
Ability to communicate effectively with non-technical stakeholders
Proficiency with SQL and 1+ programming languages (e.g., Python or Scala)
Preferred, but not required
Familiarity with standard software engineering practices and distributed computing
Experience using big data technologies (e.g., Hadoop, Spark)
We understand that not everyone will match each of the above qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!
Life at Udemy
We aspire to be as vibrant and dynamic as the communities we serve, as inquisitive as those who use our platform, and as revolutionary as the future we strive to open for everyone. Here are some of the things we love about life at Udemy:
 We’re invested in creating an inclusive environment that welcomes a diverse range of backgrounds and experiences. From creating employee resource groups, ensuring we’re a Fair Pay Workplace, and building a flexible work culture, our belonging, equity, diversity, and inclusion (BEDI) initiatives always put our people first. We want you to be able to bring your authentic self to work because when we all do, we’re better for it.
Learning is what we do – inside and out. Our Learning & Development team is second to none, helping ensure your journey is one of continuous progression. You’ll also have unlimited access to Udemy courses, monthly UDays (meeting-free professional development days), and a generous annual professional development stipend.
Our reason to exist is to revolutionize learning – that calls for taking risks and learning from failures. Whether it’s our hackathons (a company-wide effort to envision new possibilities for our product) or sharing our prototypes, we see experimentation as a crucial step on the path to success.
We’re committed to creating world-class employee experiences and are proud of the recognition of this by Great Place to Work. Learn more about our certification here and find out what it's like to work at Udemy on our blog.
Of course, the best thing about being part of Udemy is knowing your work makes a difference for people and organizations around the world. You’ve got the skills; why not use them to help others develop theirs?
At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We will consider for employment qualified applicants with arrest and conviction records.
Our Benefits Start With U
Our benefits package at Udemy “starts with U” and is grounded in mission-driven benefits that intentionally align with our core values. Here’s a sneak peek at just a few highlighted benefits if you’re a full-time Udemate based in the United States:
Core Benefits: Comprehensive medical, dental, vision, life/AD&D, and disability coverage
HSA/FSA/Commuter: Pre-tax savings/spending plans, including HSA employer contributions
Transgender Benefits: Expanded medical coverage for gender-affirming care
Parental Benefits: Financial assistance for fertility (including egg-freezing), adoption, and surrogacy expenses; twelve weeks of paid family bonding for birth, surrogacy, adoption, and foster placement (plus up to six to ten weeks of paid disability leave for birthing parents) as well as a two-week “ease-back” program that enables parents to return part-time at full pay
Whole U: Fully paid memberships for meditation/mindfulness, therapy/coaching visits, financial planning, virtual family care, reproductive health, breastmilk shipping, and caregiving support
Learning: Free access to Udemy and Udemy Business plus a yearly stipend to spend on professional development
Retirement: Pre-tax and Roth 401(k) plan with an employer contribution
Charitable Giving: Corporate charitable match for eligible nonprofits and charities
Vacation: Flexible vacation for salaried Udemates and fifteen days per year for hourly
Holidays: Twelve paid holidays throughout the year
Would you like to learn more about Udemy? Here are a few resources:
How Udemy Started [video]
Investor Overview
The hiring range for this position is $134,000 - $231,000. Actual compensation is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor. In addition to a base salary, this role is also eligible for benefits and equity.
Information regarding data privacy is available within the Udemy Careers Privacy Notice.


Senior Data Scientist Privacy

Senior Data Scientist – Privacy (remote)
Dearborn, MI, United States

(Remote)
Trending
Job Description
Are you passionate about data and data privacy?
We are seeking top-tier full-stack Data Science professionals to help to protect customer data from our connected vehicles, through privacy enhancing technologies, analytics, modeling and data strategy.
This role is available to be #remote.
Responsibilities
What you’ll be able to do:
Privacy enhancing technology: Embed these technologies into our connected vehicle data ecosystem to protect customer data privacy while maintaining data utility for connected vehicle experiences.
Influence data strategy: Develop technology solutions and data products that enhance our data ecosystem to be future-proof and agile to policy changes.
Modeling and analytics: Apply statistical modeling methods to assess opportunities and gaps, automate processes and establish measurement in Privacy related areas to support business directions.
Proof-of-concept: Develop end-to-end working proof-of-concept to demonstrate feasibility and validate methodology to stakeholders.
Provide technical leadership: Help to grow a team of data scientists and analysts through project leadership such as technical coaching, mentorship and establish team wide best practices
Qualifications
The minimum requirements we seek:
Master's degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering or related field or a combination of education and equivalent experience.
5+ years of experience of statistical methods and their accurate application e.g., ANOVA, principal component analysis, correspondence analysis, k-means cluster analysis, factor analysis, multi-variate analysis, neural networks, etc.
5+ years of experience with Python, SQL, Cloud (preferably GCP).
2+ years of experience working in a multi-functional, agile product team environment/analytic delivery team.
Our Preferred Requirements:
Experience in privacy enhancing technologies in one or more of differential privacy, secure enclave, federated learning, cryptography and so on.
2+ years of experience with executive presentation preparation and delivery.
Expertise in data science technologies such as Python R, Spark, Hadoop, etc. and cloud platform, such as GCP.
Ability to work under stress, establish priorities and respond with urgency.
Highly credible in organizational, time management, decision making and problem-solving skills.
Familiarity working with Automotive OEM/ Ford connected vehicle data & relevant infrastructure.
Familiarity working with big data to develop scalable, production-ready solutions.
What you will receive in return:

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here.
Visa sponsorship is available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
At Ford, the health and safety of our employees is our top priority. Vaccination has been proven to play a critical role in combating COVID-19. As a result, Ford has made the decision to require U.S. salaried employees to be fully vaccinated against COVID-19, unless employees require an accommodation for religious or medical reasons. Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen. As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination or an approved medical or religious exemption.
Apply Now
Job Info

    Job Identification
9175

    Posting Date
02/28/2023, 03:09 PM

    Degree Level
Bachelor's Degree or equivalent

    Locations

            Dearborn, MI, United States

    (Remote)

    Remote
Yes

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Excellent written and verbal communication skills and strong intellectual curiosity
Our preferred requirements:
Experience in statistical analysis and modeling
Advanced degree in a related field
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Are you passionate about data and data science?
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Qualifications
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Master's degree in Computer Science, Statistics, Mathematics, Physics, Engineering or related field or a combination of education and equivalent experience
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Ph.D. in Computer Science, Statistics, Mathematics, Physics, Engineering or related field or a combination of education and equivalent experience
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Qualifications
The minimum requirements we seek:
Bachelor’s degree in Computer Science, Electrical Engineering or a related field
1 + years experience in a data analytics role including running queries, compiling data, and manipulating data from separate sources to form unified sets for analysis.
1+ years experience in predictive analytics including machine learning and experience writing algorithms in Python, Scala, or similar languages.
1+ years experience in at least one of the following languages: Python, R, PySpark, Java, Matlab, C/C++, SQL, or similar languages.
Our preferred qualifications:
MS or PhD in Computer Science, Electrical Engineering or a related field
2+ years of experience with Python, SQL, Spark, Hadoop, or Google Cloud Platform
2+ years of experience with Machine Learning methods and tools, including but not limited to: linear and nonlinear regression, classification, and clustering (Relevant university course projects qualify)
1+ year of work experience (in a non-academic setting) involving complex quantitative modeling and analysis in any of the areas mentioned under Basic Qualifications
Demonstrated ability in the application of Machine Learning to real-world industrial settings with large scale data
Experience with modeling frameworks, such as DataRobot, Domino, etc.
Proficient with version control systems such as Git, as well as agile software development and DevOps tools
Excellent programming skills, particularly interface development to generate data visualizations and to extract insights from large complex data sets, is very desirable
Strong oral, written, and interpersonal communication skills and an ability to work in a collaborative team setting
Familiarity with web development backend frameworks such as Python Flask or Java SpringBoot, and frontend frameworks such as Angular
Comfortable working in a fast-paced and innovative environment where problems are not always well-defined
Well-organized, a self-starter, independent and ready to work with minimal direction
What you’ll receive in return:
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