Wolfram, creator of Mathematica, Wolfram|Alpha and the Wolfram Language, has an exciting opportunity for a Sales Intern to join its Sales team. The company is looking for a motivated individual with strong interpersonal, verbal and written communication skills to oversee and assist with sales-related projects throughout the Sales team to ensure the company’s success. The ideal candidate thrives in a fast-paced environment and takes pride in their work and achievements. This is a part-time internship, working up to 29 hours per week.
Responsibilities
<ul>
<li>Generating reports and refining/cleaning of the data</li>
<li>Compiling email addresses for communication</li>
<li>Message writing and communicating with existing and new potential contacts</li>
<li>Reporting successes to management to continuously discuss time investment on current projects</li>
<li>Support the Sales team with special projects as needed</li>
</ul>
Qualifications
<ul>
<li>Ability to prioritize tasks and take initiative</li>
<li>Ability to multitask and stay organized</li>
<li>Excellent oral and written communication skills</li>
<li>Open-mindedness, the ability to learn quickly, adaptability and creativity</li>
<li>Interest or experience in sales in the tech sector</li>
<li>Familiarity with Wolfram|Alpha, Mathematica and/or the Wolfram Language is a plus</li>
</ul>
Location: Champaign, Illinois, or remote
Wolfram is an equal opportunity employer and values diversity at its company. Women, people of color, members of the LGBTQ community, individuals with disabilities and veterans are strongly encouraged to apply.
<img src="https://remotive.com/job/track/1331630/blank.gif?source=public_api" alt=""/>

We are looking for a Data Science Intern, with exposure and interest in Optimization, with good programming skills and business oriented. This new team member will be instrumental in growing our business internationally as we continue to make the retail world a better, more sustainable place.
At Nextail, we empower retailers to create better experiences while using fewer of the world's resources. The cloud-based platform uses artificial intelligence, prescriptive analytics, and optimization to deliver agile merchandising decisions. To date, we’re backed by more than $12M in funding from leading venture capital investors and are working with global retailers like Versace, River Island, and Pepe Jeans.
 
The DS Team is part of the Product Team, our goal is to multiply the impact of our product on the business. Data Science Techniques, AI, ML, Optimisation, Simulation, Visualization, are the tools we always have at hand when we face a problem, but we will never use them in vain. We work together with Product Managers, Developers, Data Engineers and Business Experts to solve the end to end problem.
 
The ideal candidate has a STEM background. We are looking for someone that is curious, analytical and proactive.
 
You will be:
 
<ul>
<li dir="ltr">
Be a part of the development of new optimization models with experienced data scientists.
</li>
<li dir="ltr">
Work with real world data and problems from our clients.
</li>
<li dir="ltr">
Deal with large datasets of curated data.
</li>
<li dir="ltr">
You will learn about product data science development methodologies, like data ops and agile data science, but also about product discovery and delivery.
</li>
</ul>
<div> </div>
<div>
We offer:
 
<ul>
<li dir="ltr">
High flexibility: We’re strong believers that what matters most are results. Each Nextailer is empowered, through trust and ownership, to organize their time as they see fit without jeopardizing the time or work of their colleagues.
</li>
<li dir="ltr">
Remote-first philosophy: Nextail started as a remote company and continues to offer a nice mix of remote and/or office-based environments around the world.
</li>
<li dir="ltr">
International environment: We operate across the globe, with recent operations reaching from Europe all the way to Australia, and our team alone consists of professionals of more than 15 different nationalities. While many of us are multilingual, our working language is English.
</li>
<li dir="ltr">
Diversity on all levels: United as a single team, we celebrate diversity at every dimension*. Professionally speaking, are you ready to work alongside tech geniuses, data science magicians, and fashionistas? You’ll have teammates with extensive experience in a wide variety of professional fields, including technology, retail, consulting and entrepreneurship.
</li>
<li dir="ltr">
The laptop of your choice: We want you to work with the tools that are most comfortable for you!
</li>
<li dir="ltr">
Paid internship: The internship will be compensated with 800 gross euros per month.
</li>
</ul>
</div>
 
<ul>
<li dir="ltr">
You must have the ability to work through University “Convenio” and ideally be able to work full-time once internship finishes.
</li>
<li dir="ltr">
You are graduating in engineering, mathematics or a similar degree.
</li>
<li dir="ltr">
You have proficiency in English (other languages will be a plus).
</li>
<li dir="ltr">
You have a mathematical background: statistics, probability, operations research and knowledge about fundamentals optimization concepts (objective function, constraints, shadow price, GAP, etc.)
</li>
<li dir="ltr">
You come with true interest and good programming skills.
</li>
<li dir="ltr">
You are detail oriented, organized and an analytical person.
</li>
</ul>
<div> </div>
<div>
<div>
*Nextail is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
</div>
<div>
To all recruitment agencies: Nextail does not accept agency resumes. Please do not forward resumes to our jobs alias, Nextail employees or any other organization location. Nextail is not responsible for any fees related to unsolicited resumes
</div>
</div>
<img src="https://remotive.com/job/track/1314652/blank.gif?source=public_api" alt=""/>

Data lovers, unite! Zymewire is searching for an awesome post-secondary student to join us for the fall  as an intern on our Data Team.
All about Zymewire:
Zymewire is a Canadian SaaS company that has built game-changing technology to help sales and marketing teams accelerate revenue growth. Today we're leaders in the life sciences space, but tomorrow we envision becoming the de facto service that sales professionals across all industries rely on to help them make the most informed decisions, take the most immediate action and be the most awesome at their unique jobs.
We carry out our mission through (1) keeping our customers at the heart of everything we do (2) maintaining an unrelenting curiosity about their challenges and work flows (3) constantly innovating (4) learning from each other, supporting each other and having fun while doing it. We're currently a distributed team of 48 (you'd be lucky Zymer #49!), scattered across Canada, the UK, and South America.
Today more than 250 pharmaceutical and biotechnology service providers around the world trust Zymewire for their sales research. Our users are located in over 50 countries around the world and their companies range in size from start-ups to billion-dollar multinationals.
 What the role looks like:
In this role your main responsibility will be to review and analyze news content from pharma/biotech company web sources, bringing them into Zymewire to be made actionable for our users through data and machine learning processes. You will also work closely with the rest of the Zymewire data team each day on a number of tasks and projects to ensure that Zymewire users are receiving the most up-to-date industry activity for their sales and marketing efforts.
As we're funding this position with the assistance of the <a href="https://www.canada.ca/en/employment-social-development/programs/student-work-placement-program.html" rel="nofollow">Student Work Placement Program</a> candidates must meet the following eligibility requirements:
<ul>
<li>Registered full-time or part-time in a publicly funded Canadian post-secondary institution</li>
<li>A Canadian citizen, permanent resident or a protected person as defined by the Immigration and Refugee Protection Act</li>
<li>Legally entitled to work in Canada, including specific province legislation and regulations</li>
</ul>
More about YOU:
<ul>
<li>You enjoy hunting for information on the web</li>
<li>You have an interest in biotech/pharma</li>
<li>You're highly organized</li>
<li>You're very comfortable using Excel/Google Sheets</li>
<li>You're super curious (like George), about everything</li>
<li>You consider yourself to be tech-savvy, and you're excited by the idea of working for a software company.</li>
<li>You're detail-oriented, so you'll notice that we'd like you to mention WALL-E in your cover letter</li>
<li>Your enthusiasm is contagious!</li>
</ul>
Zymewire is the right place for you if you're interested in:
<ul>
<li>Learning about some of the practical applications of data science</li>
<li>Gaining an understanding of career options beyond those you may be currently thinking about</li>
<li>Being a part of an experienced team with skills in machine learning, development, business and organizational culture</li>
<li>Helping to shape the future of a bootstrapped and profitable Canadian tech company</li>
</ul>
Salary:  
<ul>
<li>$3200/month </li>
</ul>
Working Hours:
8am - 4pm EST, Mon-Thu
8am - 12pm EST Fri
+ 3.5 hours on Sunday
 Flexibility can be discussed.
Location:
Remote, anywhere in Canada
 
Start Date: August 22, 2022
End Date: December 23, 2022
Already picturing your first day as our next Data Associate? Apply now with your cover letter, resume, and preferred working hours. We look forward to hearing from you.
Zymewire is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
 
<img src="https://remotive.com/job/track/1300101/blank.gif?source=public_api" alt=""/>

Here at Hugging Face, we're on a journey to advance and democratize good ML for everyone. Along the way, we contribute to the development of technology that is informed by human values and sociotechnical context.
About the Role
As a data engineer for speech/audio datasets, you will work on a 3-6 months project to catalyze progress in speech recognition for the open-source and research community.
The project will deal with:
<ul>
<li>analyzing publicly available audio datasets,</li>
<li>providing better access to selected datasets within the 🤗 Datasets library,</li>
<li>improving audio data pre- and post-processing features within the 🤗 Datasets library,</li>
<li>evaluating state-of-the-art speech recognition systems on a variety of speech datasets.</li>
</ul>
During your project, you will closely work with the audio and speech community. The goal is to catalyze research in speech recognition by making audio preprocessing as easy as possible for as many datasets as possible, as well as providing reproducible baselines for state-of-the-art speech recognition systems and empowering the speech and audio community to improve current dataset documentation practices.
About you
You'll love this internship if you are passionate about current trends in speech recognition and view sharing your work with the research community as a necessity.
You should be well-versed in Python, have some experience in audio/speech preprocessing, and not be (too) afraid to process multiple terabytes of audio data on a daily basis. Experience with some tabular data libraries, e.g. Apache Arrow, as well as open-source contributions and the ability to communicate feature requests to a diverse open-source community are a plus! It is advantageous if you are comfortable working remotely as most of our collaborations are conducted in a remote setting.
We encourage students enrolled in university (Ph.D., Master, or Bachelor), data scientists, and ML/Data engineers looking for new opportunities to apply for this internship.
More about Hugging Face
We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where you feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community, as well as the future of machine learning more broadly. Hugging Face is an equal opportunity employer, and we do not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or ability status.
We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to grow continuously. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. We offer flexible working hours and remote options as well as unlimited PTO. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and unlimited paid time off.
We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed, and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.
We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
<img src="https://remotive.com/job/track/1261224/blank.gif?source=public_api" alt=""/>

Latest remote jobs in internship - Aug 2022

Best remote jobs available for internship. Also find remote internship internships and contracts.

Sales Intern

Internship Program: Data Science Optimization

Data Associate

Data Engineer for Speech/Audio Datasets