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Take-Two Interactive Software, Inc.

<div><h2 class="jobSectionHeader"><b>Who We Are:</b></h2>
<p>
Headquartered in New York City, Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. We develop and publish products principally through Rockstar Games, 2K, and Zynga. Our strategy is to create hit entertainment experiences, delivered on every platform relevant to our audience through a variety of sound business models. Our pillars - creativity, innovation, and efficiency - guide us as we strive to create the highest quality, most captivating experiences for our consumers. The Company&rsquo;s common stock is publicly traded on NASDAQ under the symbol TTWO. For more corporate and product information please visit our website at http://www.take2games.com.</p>
<p>
While our offices (physical and virtual) are casual and inviting, we are deeply committed to our core tenets of creativity, innovation and efficiency, and individual and team development opportunities. Our industry and business are continually evolving and fast-paced, providing numerous opportunities to learn and hone your skills. We work hard, but we also like to have fun, and believe that we provide a great place to come to work each day to pursue your passions.</p>
<h2 class="jobSectionHeader"><b>
Our Internship Program:</b></h2>
<p>
Take-Two&rsquo;s Summer Internship Program is designed to provide students with an opportunity to gain substantive, first-hand business insight over the course of a three-month paid internship. Interns will gain hands-on exposure in the area(s) of their desired interests as well as participate in team-based summer-long projects. Our internships are created with the intent that students walk away with meaningful learning experiences that enhance both their personal and professional development goals. T2's Internship Program also serves as a gateway to building a talent pool of rising stars for permanent roles.</p>
<p><b>
Duration - 3 Months</b></p>
<p><b>
In office expectations - 4 days in office</b></p>
<h2 class="jobSectionHeader"><b>
The Challenge:</b></h2>
<p>
Join our ambitious team at Take-Two Interactive Software as a Data Science Intern, where you will play a crucial role in transforming data into actionable insights. Working in a dynamic environment, you will apply your analytical skills to drive impactful decisions and help build the future of interactive entertainment. Here, your contributions will be vital to our success!</p>
<h2 class="jobSectionHeader"><b>
What You&rsquo;ll Take On:</b></h2>
<ul><li>Use statistical analysis, machine learning, and data visualization to uncover data patterns and test hypotheses.</li>
<li>Collaborate with senior analytics staff to determine business needs and implement actionable solutions.</li>
<li>Contribute to projects such as Manual Process Automation, Sales Forecasting, and Competitive Intelligence.</li>
<li>Engage in collaborative programming by practicing version control and Gitflow.</li>
</ul><h2 class="jobSectionHeader"><b>What You Bring:</b></h2>
<ul><li>Intermediate proficiency in Python and SQL.</li>
<li>Understanding of data analysis techniques and foundational concepts in Calculus, Statistics, and Linear Algebra.</li>
<li>Experience with Data Science methodologies, including machine learning, regression, and classification.</li>
<li>Skill in Data Visualization and storytelling through visual composition.</li>
<li>A passion for automation and continuous improvement.</li>
</ul>
<p><b>Education: </b>Currently enrolled in higher education</p>
<h2 class="jobSectionHeader"><b>
Great to Have:</b></h2>
<ul><li>Enthusiasm for the gaming industry and experience as a gamer.</li>
<li>Familiarity with time series analytics, NLP, and related analytical techniques.</li>
<li>Knowledge of libraries such as Sklearn, Pandas, Numpy, and Jupyter.</li>
<li>Experience with Visualization/BI tools like Tableau.</li>
<li>Familiarity with browser-tool development packages like Streamlit.</li>
</ul><h2 class="jobSectionHeader"><b>What We Offer You:</b></h2>
<ul><li><b>Great Company Culture</b>. Consistently ranked as one of the most creative and innovative places to work. Creativity, innovation, and efficiency are among the core tenets of our organization and are integral drivers of our continued success.</li>
<li><b>Growth</b>: As a global entertainment company, we pride ourselves in creating environments where employees are encouraged to be themselves, inquisitive, collaborative and grow within and around the company and our Labels.</li>
<li><b>Work Hard, Play Hard. </b>We like that our employees&rsquo; bond, blow off steam, and flex some creative muscles. Whether it&rsquo;s boot camp classes, coloring on the roof, or monthly socials. These events encourage employees to tap into what keeps them going.</li>
</ul>
<p><i>The pay range for this position in New York City at the start of employment is expected to be $30 per Hour. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an 'at-will position' and the company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors.</i></p>
<p><i>
Please be aware that Take-Two does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Take-Two also does not engage in any financial exchanges during the recruitment or onboarding process, and the Company will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scam or phishing exercise. Take-Two&rsquo;s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a take2games.com email domain). If you need to report an issue or otherwise have questions, please contact Careers@take2games.com</i></p>
<p><i>
As an equal opportunity employer, Take-Two Interactive Software, Inc. (&ldquo;Take-Two&rdquo;) is committed to fostering and celebrating the diverse thoughts, cultures, and backgrounds of its talent, partners, and communities throughout its organization. Consistent with this commitment, Take-Two does not discriminate or retaliate against any employee or job applicant because of their race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, and genetic information (including family medical history), or on the basis of any other trait protected by applicable law. If you need to report a concern or have questions regarding Take-Two&rsquo;s equal opportunity commitment, please contact Careers@take2games.com.</i></p></div>

Data Science InternNew

Scale AI

<div></div><div><div><div>Equal opportunity employer</div></div><div></div><div><div>
Remote-friendly culture</div></div><div></div><div><div>
Competitive benefits package</div></div></div>
<br><div><p>At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact.</p>
<div>
You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME&rsquo;s Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real-world applications for industry-leading companies.</div>
<div>
You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health.</div>
<h3 class="jobSectionHeader"><b>
Responsibilities:</b></h3>
<ul><li>Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers.</li>
<li>Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models.</li>
<li>End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle&mdash;from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation.</li>
<li>Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation.</li>
<li>Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy.</li>
<li>Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems.</li>
<li>Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology.</li>
</ul><h3 class="jobSectionHeader"><b>Requirements:</b></h3>
<ul><li>8+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis).</li>
<li>Proven track record of shipping high-quality data products, models, or features at scale.</li>
<li>Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions.</li>
<li>Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets.</li>
<li>Ability to effectively communicate complex technical concepts to both technical and non-technical audiences.</li>
<li>Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI.</li>
<li>Excited to join a dynamic, hybrid team in either San Francisco or New York City.</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications:</b></h3>
<ul><li>Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant).</li>
<li>Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems.</li>
<li>Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray).</li>
<li>Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling.</li>
<li>Experience with cloud-based infrastructure and data warehousing (e.g., AWS, GCP, Snowflake, BigQuery).</li>
</ul><div><div><div><div><i>
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You&rsquo;ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</i></div></div><div>
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:</div><div>
$228,800&mdash;$286,000 USD</div></div></div><div><div><b><i>
PLEASE NOTE: </i></b><i>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</i></div>
<div><b>
About Us:</b></div>
<div><i>
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</i></div>
<div><i>
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</i></div>
<div><i>
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's </i><i>Know Your Rights poster</i><i> for additional information.</i></div>
<div><i>
We comply with the United States Department of Labor's </i><i>Pay Transparency provision</i><i>.</i></div>
<div><b><i>
PLEASE NOTE: </i></b><i>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our </i><i>privacy policy</i><i> for additional information.</i></div></div></div>

Staff Forward Deployed Data Scientist/Engineer

Moody's

<div><p>At Moody's, we unite the brightest minds to turn today&rsquo;s risks into tomorrow&rsquo;s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are&mdash;with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody&rsquo;s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we&rsquo;re advancing AI to move from insight to action&mdash;enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.</p><p>
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.</p><p><b>
Skills &amp; Competencies
</b></p><ul><li>Strong understanding of data science principles and applications, including statistical modeling, predictive analytics, ML and NLP, data mining, and optimization techniques</li><li>
Proficiency in programming languages such as Python, R, SAS, or SQL; familiarity with tools and platforms like AWS, Elasticsearch, GitHub, or Docker is a plus</li><li>
Hands-on experience with research and analysis, demonstrated through internships or academic projects involving large, complex datasets and a variety of analytical tools</li><li>
Awareness of existing and emerging technologies, including a foundational understanding of generative AI and its applications, with a willingness to explore how these tools can drive innovation and improve software solutions</li><li>
Demonstrated leadership potential, learning agility, and adaptability, with the ability to take initiative and contribute effectively in evolving technical and team environments<br>
Understanding of finance and capital markets is a plus, with the ability to contextualize technical work within broader business and industry objectives</li><li>
Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use</li></ul><p><b>
Education
</b></p><ul><li>Graduating with a minimum of a Masters or PhD degree in Data Science, Business Analytics, Operations Research, Applied Statistics, Mathematics, Engineering or Computer Science (with a focus on machine learning or AI), or a related quantitative discipline
</li><li>Anticipated graduation date of June 2026 or prior</li><li>
Achieved exceptional academic performance</li></ul><p><b>
Responsibilities</b><br>
Rotational assignments vary in terms of the technology skills required, and may use any or all of the following technologies: Analytical Tools and Solutions, Emerging Technologies, Environmental, Social, and Governance (ESG) &amp; Climate Risk, Business Intelligence, Enterprise Applications Systems, Machine Learning, Artificial Intelligence, NLP, Data Science, and Data Engineering.<br>
At Moody&rsquo;s we are committed to integrating generative AI within each of our teams, which you will gain experience in during your time in the rotation program. Typical responsibilities for participants in the program may include, but are certainly not limited to, examples in the list below:</p><ul><li>
Conduct theoretical and empirical research on measurements of credit risk and other risks including climate change and other emerging threats on portfolio credit risk</li><li>
Create an agentic system by harnessing the power of GenAI and LLMs to uncover valuable insights from various data sources by leveraging tools such as AWS, Databricks, Jenkins, and Github</li><li>
Develop intuitive Streamlit and Power BI applications that translate complex analyses into actionable, executive-ready narratives</li><li>
Collaborate with cross-functional teams to create GenAI-powered automation tools that enhance the capabilities of customer service teams, enabling them to respond to inquiries more efficiently and effectively</li><li>
Model financial line items for companies, work on credit scoring models, feature extraction &amp; ML pipeline development, and utilize macro-economic tracking tools</li></ul><p><b>
About the Program</b><br>
Embark on an exciting journey in your early career by joining the Moody&rsquo;s Technology Rotation Program &ndash; Data Science! This dynamic program is your gateway to launching your career in data science, offering recent graduates the chance to join our teams who are at the forefront of transforming data using the most advanced technologies to create impactful solutions for our clients. You&rsquo;ll not only enhance your technical skills but also cultivate in-depth domain knowledge while developing new techniques to help solve real-world problems, all while forging invaluable connections with a community of your peers.</p><p>
Over the course of the 2-year program, you&rsquo;ll participate in two year-long rotation assignments across various Moody&rsquo;s Business Units (BUs), gaining a variety of experiences that will shape you into a future technology leader at the firm. You will have a vital role in modeling, visualizing, and interpreting critical data to help us continue to use data and technology to transform our industry. You will have the opportunity to work with accomplished individuals who share advanced degrees, certifications and professional designations in fields such as data science, machine learning, AI, predictive analytics, mathematics, economics, and more. Based in our headquarters in New York or out of our San Francisco office, this hybrid program encourages collaboration and innovation, requiring participants to join our community in the office 2 days per week.</p><p>
As you navigate through the program, you&rsquo;ll be empowered to develop in your professional career by engaging in monthly workshops, participating in ongoing training and through receiving ongoing feedback from your rotation team &ndash; all with the support of a dedicated program manager. Starting together as a cohort, you&rsquo;ll build friendships and a strong support network from day one, setting the stage for an incredible career ahead.</p><p>
For US-based roles only: the anticipated hiring base salary range for this position is $130,000-$140,000, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role may be eligible for a completion bonus. Moody&rsquo;s also offers insurance and a discounted employee stock purchase plan for limited duration employees.</p><p>
Moody&rsquo;s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody&rsquo;s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.</p><p>
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.</p><p>
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.</p><p><br>
<br>
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody&rsquo;s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.<br>
For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet<br>
<br>
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee&rsquo;s tenure with Moody&rsquo;s.</p></div>

Moody's Technology Rotation Program - Data Science

Bloomberg

<div><div><div><div><div><div>Enterprise Data Sales Specialist &ndash; Research &amp; Data Science, Financial Solutions
</div></div></div></div></div><div><div><div><div><div>Location
</div><div>New York
</div></div><div><div>Business Area
</div><div>Sales and Client Service
</div></div><div><div>Ref #
</div><div>10048023
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h2></div></div><div><div><div><div><div><div><div><div>Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.</div><div><br>
</div>
<div>The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.</div><div><br>
</div>
Our Team</div></div>
<div><div><div><div><div><div><div><div><div><div>We are Bloomberg Enterprise Data - fast paced, innovative and fast-growing. We collaborate closely with our clients, taking the time to understand their unique business while focusing on data and technology needs. We have an endless selection of data sets covering all asset types available through multiple delivery technologies. This allows our clients to get exactly the data they need, when they need it, with the technology they prefer.</div><div><br>
</div>
<div>What's the role?</div>
<div>The Research Data Science Specialist Sales team is a fast-paced and high growth area within the Enterprise Data Specialist Sales division that sells to the Quant and Research audience across sell-side and buy-side accounts. With the proliferation of trends such as Data Science and AI within the investment space, this is an exciting opportunity to be part of a dynamic and growing part of our organization.</div>
<div>Quant and Research Data Sales Specialists will be responsible for the sales and retention of our quantitative data and technology suite of offerings. This includes, but is not limited to, our event driven feeds, company fundamentals and estimates suite, alternative data, macro-economic data, microstructure data, and API delivery. To be successful, you will need to have a proven track record of B2B selling, collaboration with multiple internal departments, proficiency in data and technology within the investment research workflow, and staying on top of evolving market trends. In addition, we are looking for someone who can bring deep insights and experience within this industry.</div>
<div><br>
We&rsquo;ll trust you to:</div>
<ul><li>Develop and execute on sales strategy to drive annual sales and revenue targets for a defined territory</li></ul>
<ul><li>Work efficiently in a collaborative selling environment while maximizing the resources available to achieve success</li></ul>
<ul><li>Build and execute on sales strategies with other internal sales and account management groups</li></ul>
<ul><li>Proactively identify new pipeline opportunities and accurately maintain sales forecasts</li></ul>
<ul><li>Build and execute on sales strategies while collaborating with other internal sales and account management groups as required</li></ul>
<ul><li>Build trusted relationships with quant-focused clients, as well as C-level executives, to acquire knowledge and understanding of their quantitative processes and data &amp; technology stacks</li></ul>
<ul><li>Educate and assist Enterprise Sales members across the organization on learning how to identify relevant sales opportunities in the business.</li></ul>
<ul><li>Frequent client and prospect interaction through sales calls and on-site visits</li></ul>
<ul><li>Ongoing education of customer technology stacks, workflows, internal structure, and industry trends</li></ul>
<ul><li>Leverage your knowledge and skill set to build and maintain credibility with clients, identify gaps, and recommend solutions to deliver on revenue-generating goals.</li></ul>
<div><br>
You'll need to have:</div>
<ul><li>Minimum 5 years experience in enterprise solutions selling in or to the financial markets</li></ul>
<ul><li>In depth understanding of investment research workflows</li></ul>
<ul><li>Strong track record in consultative selling</li></ul>
<ul><li>Proven ability in accurate pipeline management from initial lead to close</li></ul>
<ul><li>Ability to establish key relationships within strategic quantitative accounts, including senior client relationships at C-levels</li></ul>
<ul><li>Desire to continually learn and add new technical and selling skills</li></ul>
<ul><li>Highly motivated and target/quota driven</li></ul>
<ul><li>Based in New York with willingness for regular business travel</li></ul>
<div><br>
We'd love to see:</div>
<ul><li>8+ years of relevant industry, sales, and market experience</li></ul>
<ul><li>Proficiency in SQL and Python</li></ul>
<ul><li>Experience selling Research data or Alternative data sets</li></ul>
<ul><li>Understanding of AI/ML/Data Science within the financial domain</li></ul><div><br>
</div>
</div></div></div></div></div></div></div></div></div></div></div></div><div><div><div>Salary Range = 185000 - 250000 USD Annually + Benefits + Bonus</div><div><br>
<div><br>
</div><div>The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.<div><br>
<br>
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.<br>
</div></div></div></div></div><div><div>Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.</div></div></div></div></div></div>

Enterprise Data Sales Specialist – Research & Data Science, Financial Solutions

American Museum

<div><h2 class="jobSectionHeader"><b>Posting Details</b></h2>
<div><div><div>Position Information
</div><p></p><div><div><div><div><b>Position Title</b></div> <div>Interactive Web Developer</div>
</div><br>
<div><div><b>Department</b></div> <div>Education (NCSLET) - 056</div>
</div><br>
<div><div><b>Position Summary</b></div>
<div><div>The American Museum of Natural History is one of the world&rsquo;s preeminent scientific and cultural institutions, and has as its mission to discover, interpret and disseminate information about human cultures, the natural world and the universe through a wide-ranging program of scientific research, education and exhibition.<br>
<br>
The National Center for Science Literacy, Education, and Technology (NCSLET) is a division within the Museum&rsquo;s Education Department that produces educational products, primarily for distribution via the Museum&rsquo;s Digital Platform. Key products include OLogy (amnh.org/ology), OLogy iPad app, Seminars on Science (learn.amnh.org), and interactive curriculum tools distributed through Resources for Learning (https://www.amnh.org/learn-teach/resources-for-learning). The Interactive Web Developer will be the primary technical resource for the Center, with responsibility for maintaining, building, and supporting the products listed above, and others.<br>
<br>
Job responsibilities include, but are not limited to:</div><ul>
<li>Production and development of new interactive media in HTML5 and/or JavaScript for distribution on the Museum&rsquo;s multiple digital platforms.</li>
<li>Technical Management<b> </b>of the group&rsquo;s implementation of the Content Management System.</li>
<li>Oversee, maintain, and support<b> </b>digital products with multi-language support, accessibility standards, and analytics.</li><br>
<p></p>
</ul><div>
<br>
The expected salary range for the Interactive Web Developer is $85,000/annual &ndash; $105,000/annual. The AMNH offers an extensive benefits package designed to meet the needs of our dedicated and diverse community.<br>
<br>
Pay will be determined based on several factors. The hiring range for the position at commencement is based on the type of work and the scope of responsibilities. The salary and placement offered is based on a number of individualized factors, including, but not limited to, skills, knowledge, training, education, credentials, areas of specialization and depth and scope of experience.</div></div>
</div><br>
<div><div><b>Minimum Qualifications</b></div>
<div><ul><li>High school diploma or equivalent.</li>
<li>Completed coursework in computer science and/or game design or natural science.</li>
<li>Proficiency in website production and project management: HTML, JavaScript libraries, CSS, SASS, accessibility, responsive design.</li>
<li>Strong interest in science and education.</li>
<li>Excellent communication and interpersonal skills.</li>
<li>Follow-through, creative and strategic thinking, willingness to work collaboratively, and attention to detail.</li></ul></div><br>
<p></p>
</div><br>
<div><div><b>Preferred Qualifications</b></div>
<div><ul><li>Bachelor&rsquo;s Degree with coursework in computer science and/or game design or natural science.</li>
<li>Experience with Content Management Systems.</li>
<li>Game design experience.</li>
<li>Working knowledge of WebGL, Unity and After Effects.</li>
<li>Science data visualization skills.</li></ul></div><br>
<p></p>
</div><br>
<div><div><b>Physical Demands</b></div>
<div><ul><li>Must be able to remain in a stationary position (sitting or standing) for prolonged periods.</li>
<li>Must be able to occasionally lift up to 20 pounds.</li>
<li>Must be able to move about the Museum campus.</li></ul></div><br>
<p></p>
</div><br>
<div><div><b>Category</b></div> <div>Full-Time/Term</div>
</div><br>
<div><div><b>Total Number of Scheduled Hours Per Pay Period</b></div> <div>70</div>
</div><br>
<div><div><b>Union Status</b></div> <div>Union</div>
</div><br>
<div><div><b>FLSA</b></div> <div>Exempt</div>
</div><br>
<div><div><b>Expected Salary Minimum</b></div> <div>$85,000/annual</div>
</div><br>
<div><div><b>Expected Salary Maximum</b></div> <div>$105,000/annual</div></div></div></div></div></div></div><p></p>

Interactive Web Developer

Suno

<div>
 <strong>
  About Suno
  <br/>
  <br/>
 </strong>
 Suno is a music company built to amplify imagination. Powered by the world&rsquo;s most advanced AI music model, Suno offers an unparalleled creative platform that includes Suno Studio, a breakthrough generative audio workstation. From shower-singers to aspiring songwriters to seasoned artists, Suno empowers a global community to create, share, and discover music&mdash;unlocking the joy of musical expression for all.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We're looking for talented Early Career Software Engineers to join our team building Suno. You'll work closely with experienced engineers to develop and enhance the tools that enable millions of users to create, discover, and share music, while building your professional development and technical expertise in cutting-edge AI and audio technology.
 <br/>
 <br/>
 Check out our Suno version of the job here!
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build Suno's apps for creating, exploring, and listening to music
  </li>
  <li>
   Contribute to services that handle massive consumer traffic, data, and usage
  </li>
  <li>
   Learn to design systems that are performant, scalable, and easy to observe
  </li>
  <li>
   Participate in code reviews and learn best practices from senior engineers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
  </li>
  <li>
   Strong foundation in computer science fundamentals (data structures, algorithms, software design)
  </li>
  <li>
   Experience with web technologies and modern frameworks (Python, Django, React, or similar) or mobile development through coursework, internships, or personal projects
  </li>
  <li>
   Basic understanding of databases and data storage solutions (SQL, NoSQL)
  </li>
  <li>
   Strong problem-solving skills and attention to detail
  </li>
  <li>
   Ability to work effectively in a collaborative environment
  </li>
  <li>
   Eagerness to learn about distributed systems and scaling applications
  </li>
  <li>
   A love of music (listening, exploring, making) is a huge plus, but not required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Notes:
 </strong>
 Applicants must be eligible to work in the US.
 <br/>
 <br/>
 <strong>
  Perks &amp; Benefits For Full-Time Employees
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Company Equity Package
  </li>
  <li>
   401(k) with 3% Employer Match &amp; Roth 401(k)
  </li>
  <li>
   Medical, Dental, &amp; Vision Insurance (PPO w/ HSA &amp; FSA options)
  </li>
  <li>
   11 Paid Holidays + Unlimited PTO &amp; Sick Time
  </li>
  <li>
   16 Weeks of Paid Parental Leave
  </li>
  <li>
   Creative Education Stipend
  </li>
  <li>
   Generous Commuter Allowance
  </li>
  <li>
   In-Office Lunch (5 days per week)
  </li>
 </ul>
</div>


Software Engineer, Early Career

designworks

Key Responsibilities: 1. Design, implement, and maintain database systems to ensure data integrity, security, and performance. 2. Develop and implement database architectures, data models, and schema. 3. Ensure database security, backup, and recovery procedures are in place. 4. Optimize database performance, query optimization, and indexing. 5. Collaborate with cross-functional teams, including development, QA, and operations. 6. Troubleshoot and resolve database issues, including data corruption and performance degradation. 7. Stay up-to-date with industry trends, emerging technologies, and database best practices. Requirements: 1. Bachelor's degree in Computer Science, Information Technology, or related field. 2. Advanced degree (e.g., MS) preferred. 3. Minimum 5 years of experience in database administration. 4. Professional certifications, such as Oracle OCP, Microsoft MCSE, or IBM DB2. 5. Strong technical and problem-solving skills. 6. Ability to work in a fast-paced environment. 7. Proficiency in database management systems, such as Oracle, Microsoft SQL Server, or IBM DB2. Nice to Have: 1. Experience with cloud-based database services, such as Amazon RDS or Google Cloud SQL. 2. Knowledge of database security best practices and compliance regulations. 3. Familiarity with data warehousing, business intelligence, and data analytics.

Database Administrator

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