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Freelance Tutorial Writer DataCamp is looking for a freelance data science tutorial writer! If you are a seasoned writer within the data & AI space and have demonstrable experience in creating, editing, and delivering technical data & AI articles and tutorials, we want to speak with you. You’ll be responsible for working with one of our content editors to create DataCamp blogs and tutorials to help educate your fellow data practitioners. Through these efforts, you will help amplify and share free and valuable educational content for DataCamp’s audience of learners and professionals. This is a freelance contributor role—you will preferably be able to deliver 2-5 articles per month, including work on: Delivering high-quality articles & tutorials on data science, AI, analytics, business intelligence, and more Researching the latest trends and technologies to deliver insightful, original content that helps our readers continue to learn Suggesting new and interesting topics that are suitable for our core audience and will drive organic traffic and engagement Creating reflective images of your content using generative AI tools (such as Midjourney or DALL-E) to help your articles stand out We’re excited about you because you have the following: You have a strong understanding of data science & AI and can write on technical subjects in the data space yourself. Detailed knowledge of at least 1 programming language (Python, R, SQL, …) or Business Intelligence Tool (Tableau, Power BI, …) You can provide multiple relevant examples of your writing and editing work.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir's defense product vertical builds mission-critical products for the modern warfighter. We provide a complete ecosystem where customers can securely integrate and visualize their data, and build sophisticated, full-fledged programs such as common operating pictures, alert-triaging inboxes, and resource allocation planning tools driven by rich-ML models. Our customers use our defense offering to perform rich analyses that drive core operations within their organizations - these programs are relied upon for daily operations in the command centers and battlefronts of militaries across the world. This is a frontend engineering role focused on application development for our defense product offering, where you will be responsible for crafting the applications that organizations use every day to keep their countries safe. You will be architecting and developing interfaces to make sophisticated, data-intensive workflows both powerful and approachable, including to non-technical users. You may spend one day talking to users to better understand their needs and identifying product gaps to improve. The next day, you might find yourself putting that customer context to use and brainstorming how to handle intricate UX needs with your teammates. You’ll regularly face sophisticated technical problems, requiring you to scope out the solution design and finding an incremental path to shipping the new features. As part of this, you will own APIs and schemas that power your frontend code, and work with backend engineers in developing them together. You’ll be constantly exploring new horizons and building new skills in service of real world needs: between type theor

About The Sales Team MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “ Think Big and Go Far .” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry. The Role As an Enterprise Account Executive, Acquisition you will play a pivotal role in driving the growth and success of MongoDB. You will be responsible for identifying and pursuing new business opportunities, cultivating relationships with key stakeholders, and ensuring the successful adoption of our solutions. We are looking to speak to candidates who are based in Mexico City for our hybrid working model. What You’ll Be Doing Prospect into CTOs, Engineering/IT leaders, and technical end usersIdentify net-new customers through outbound prospecting Manage the full sales cycle for all MongoDB Products & ServicesDevelop and execute a strategic territory plan to achieve revenue targetsBuild a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and OutreachCollaborate with the sales ecosystem to drive sales initiatives and partnerships What You’ll Bring To The Role 3+ years of full-cycle sales experience, with an emphasis on closing new customersDemonstrated success with cold calling and creative pipeline generation strategiesA proven track record of overachievement and hitting sales targetsAbility to articulate the business value of complex enterprise technologyFluent in English Things We Love Passionate about growing your career in the largest market in software (database)Previ

About Energy CX: Energy CX is redefining the energy brokerage industry as the fastest-growing player in the US. By bringing cutting-edge technology, advanced analytics, and innovative solutions, we are disrupting a space that has operated in the dark for too long. Why Energy CX? Recession proof industry Entrepreneurial and ambitious culture with a great team oriented environment Fastest growing energy broker in the country Recognized by Fortune and Great Places to work US Named on Inc 5000’s list of America’s fastest growing companies Compensation Year 1 Expected Earnings → $80,000-$120,000 Title: Account Manager Energy CX is rapidly growing its customer success team and we are seeking Chicago-based professionals to work with the largest CRE firms and manufacturers in the country. About this Job We are looking for customer-facing individuals who will be responsible for renewing our existing customers and strengthening the relationship. Given that this is a growing team we are looking for an individual who is comfortable in a dynamic environment. The person for this job is a relationship builder and excellent communicator. Energy CX believes in obsessing over the customer experience. We are looking for people who understand the importance of this innately, and get excited about making customers happy. Objectives of this Role Retain logos while increasing net revenue Educate and set clear expectations with your customers. Extreme visibility / clarity for all customers is the goal Actively manage all customers to ensure their agreed upon success criteria are met Create lasting relationships with customers through in-person events (dinner, sporting events, coffee, etc.) To be successful in this role you are: Solution-oriented. Problems / Issues are viewed as opportunities, not obstacles Growth-minded: Able to zoom out and prioritize the long term over the short term Interested in learning about a complex industry and new customer bas

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Palantir Design Team is responsible for the human experience of using our software. Our team is growing rapidly, but we're committed to creating a tight-knit team environment that fosters trust, integrity, empathy, and growth. We work together in realizing a shared product vision, and regularly give feedback and critique to each other. Designing at Palantir is a varied experience. On a given day, you might be: leading a design sprint for your product team; designing a micro-interaction to make a complex analytical task feel simple; and/or advocating for UX consistency by creating flexible, reusable UI components. Designers at Palantir develop a deep understanding of the problems our customers face while solving some of the world’s most unique challenges. Our mission is to build generalizable and scalable solutions that elegantly handle the complexity of these problem spaces. Core Responsibilities Interaction and visual design . As a product designer, you'll be involved at every stage of design work. You'll help define early product concepts, flesh out the high-level workflow and micro-interactions of a feature, and execute on a crisp and effective visual design. You should have experience designing and prototyping using tools such as Figma. User research . We frequently do informal user research, and value people who can be flexible with research processes and methodologies to achieve the right outcome. You'll often visit customer offices to interview and learn from the users we serve. You'll pair qualitative methods (e.g. scripted usability tests and contextual inquiry) with quantitative information, like

P-995 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. The Core Experiences Platforms Org in Bangalore is responsible for the main set of platforms to access and interact with core assets such as Workspaces, Notebooks, SQL queries and the necessary serving infrastructure to power multiple User Experiences. Databricks is experiencing very high growth, and several critical services rely on the platforms of the Core Experiences Platforms Org. We are focused on redesigning our systems to support the next stage of growth. This is an opportunity for you to be owning several critical next generation infrastructure for databricks, and be a central part of databricks' growth. As an Engineering Manager in the Core Experiences Platform Org, you will build and operate highly available and scalable platforms which serve multiple products in Databricks, allowing it to seamlessly scale and run across various geographic regions and clouds, and make Databricks the go-to product for big data processing in the cloud. You will report directly to the Sr. Manager of Engineering. The Impact You Will Have: You will hire great engineers to build an outstanding team You will support engineers in their career development by providing clear feedback, as well developing engineering leaders You will ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence) You will work with engineering and product leadership to build a long-term roadmap You will coordinate execution and collaborate with multiple product teams with feature requests from the platform What We Look For: Great at hiring and developing tale

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Building processes, tools and frameworks to ingest, clean and deliver datasets Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams Creation of in-house, value added, derived data products for consumption by investment teams Engaging with vendors and internal stakeholders to understand characteristics of datasets Partnering closely with investment teams to ensure their data requirements are met Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams REQUIREMENTS PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required 5+ years of experience as a Data Scientist or similar role Experience working with large data sets including predictive modeling Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Intellectua

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Building processes, tools and frameworks to ingest, clean and deliver datasets Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams Creation of in-house, value added, derived data products for consumption by investment teams Engaging with vendors and internal stakeholders to understand characteristics of datasets Partnering closely with investment teams to ensure their data requirements are met Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams REQUIREMENTS PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required 5+ years of experience as a Data Scientist or similar role Experience working with large data sets including predictive modeling Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Intellectua

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Develop, test and deploy data pipelines, applications and services Re-shaping, aggregating, enhancing and creating features from datasets Engaging with vendors and internal stakeholders to understand characteristics of datasets Defining and automating qualitative data alerts and reports Partnering closely with investment teams to ensure their data requirements are met Perform preliminary analysis and research to be shared with investment teams REQUIREMENTS Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Attention to detail and a love of processes Strong oral and written communication skills Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues Ability to multitask and prioritize assignments Commitment to the highest ethica

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Site Reliability Operations Analyst you are the engine behind Palantir deployments. You are responsible for crafting, implementing and executing processes to streamline workflows and reduce friction. You track and stabilize projects, remove roadblocks, and anticipate customer needs to free up our engineers to focus their time and attention on the technical problems they are best equipped to solve. This position requires a combination of project management, process optimization, and execution skills. You are a person who loves fixing problems and always embraces the best idea, even when it is not your own. Core Responsibilities Work on many different types of problems and challenges. You might be supporting a deployment at a large, global customer one day, and jetting off across the world to help out with a new pilot project the next. Be the first responders when things go wrong. Even if a problem is outside your area of expertise, you make the first move to fix it, and only ask for help when we’ve exhausted all that we can possibly do. Craft and implement process to reduce friction and enable all team members to spend their time on what they do best. Think creatively, work collaboratively, and do whatever it takes to get the job done. What We Value Extraordinary judgment and composure in high-pressure situations. A creative approach to project management centered around lightweight frameworks that enable rapid iteration and low-overhead methods of keeping our customers informed. Proven track record of developing effective and collaborative relationships with customers. Meticulous at

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Develop, test and deploy data pipelines, applications and services Re-shaping, aggregating, enhancing and creating features from datasets Engaging with vendors and internal stakeholders to understand characteristics of datasets Defining and automating qualitative data alerts and reports Partnering closely with investment teams to ensure their data requirements are met Perform preliminary analysis and research to be shared with investment teams REQUIREMENTS Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Attention to detail and a love of processes Strong oral and written communication skills Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues Ability to multitask and prioritize assignments Commitment to the highest ethica

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! What you'll be doing: As an Account Executive at Forma.ai, you will play a critical role in driving revenue growth by identifying, engaging, and closing enterprise-level deals. You will be responsible for building and managing a robust pipeline of Fortune 1000 prospects, helping them transform their approach to sales planning and incentive compensation. Your contributions will include: Strategic Sales Leadership Own and execute the full sales cycle, from prospecting (collaborating with BD) to close, for enterprise-level accounts Engage senior executives (CROs, CFOs, RevOps leaders) to position Forma.ai as a strategic partner in sales performance optimization Develop tailored sales strategies to penetrate key accounts and expand existing relationships Revenue Growth & Pipeline Management Consistently achieve and exceed sales targets through disciplined pipeline management and forecasting Leverage data-driven insights to identify high-potential opportunities and accelerate deal velocity Collaborate with BD and Marketing to drive qualified leads and create multi-threaded sales opportunities Process Optimization & Execution Master the Forma.ai sales methodology to drive repeatable success across complex sales cycles Ensure seamless handoff between sales and implementation teams for a world-class customer experience Optimize sales processes to reduce friction and increase efficiency in deal execution Techno

We are not working with external recruiting partners at this time, please apply directly to the role if you have further interest in joining Vise Engineering at Vise has the unique opportunity to use technology to revolutionize the RIA wealth management industry. Team members are given ownership and trust with the understanding that they are supported by industry experts and together can build a best-in-class product. We are a small, high-impact team where everyone has a voice in the development of our product and technology. Vise is seeking a passionate Quantitative Engineer to join our talented engineering team. As we build the future of wealth management, you will partner closely with our investment strategy and core engineering teams, as well as our Chief Investment Officer to build sophisticated investment models which shape our portfolio construction and portfolio insights. You will be responsible for writing production ready quantitative models, using advanced numerical techniques, convex optimization routines and industry leading practices. Our team is deeply curious, with a strong desire to solve problems that have no defined answer. You should feel comfortable reimagining investment management and questioning every market assumption. The ideal candidate thrives in a creative, inventive, and fast-paced startup environment and wants to work with people who are equally passionate about our work and mission. The problems we’re solving as an organization are dynamic and each day brings fresh and exciting challenges. We're interested in people who will react quickly and efficiently when called upon to change or pivot. We work closely with convex optimization techniques and numerical optimizations of various problems. Past exposure in solving complex problems in a numerically optimized way is a plus. What you will own Help to maintain and expand the tax-aware portfolio optimizer using state of the art optimization techniques Develop deep experti

Product Designers at Vise are obsessed with building a world-class user experience to save financial advisors time, grow their business, and help their clients understand their investment portfolios. They identify and advocate for solving critical customer problems, discover strategy-driving insights, and build advisor empathy across the company. Now that we’ve launched the second iteration of our platform, we’re ready to innovate from a design perspective and bring the next generation of our experience to life. Autonomy is everything. At Vise, you’ll be empowered to apply your design instincts to the most critical parts of our user journey as well as express your point of view without bureaucracy or red tape. Through close partnership with product, engineering, and sales, you’ll be responsible for taking new product enhancements and features from ideation to execution. You’ll also play a pivotal role in driving the continued evolution of our design culture. This role is onsite in NYC, in our SoHo office. What you will own: Your design process; end to end. Cross-functional outcomes with engineering, product, and business teams to understand problems, define goals and research requirements, map out user journeys, as well as prototype and launch new features and functionality Design strategy, continuously advocating for user needs and contributing to the evolution of our design system User research and testing from concept to usability Maintaining the standard for Design @ Vise, from culture, to process, to quality Design deliverables on the horizon: Explore new ways to educate our users on Vise’s investment philosophy as well as the decisions our investment engine makes on behalf of clients PLG initiatives to drive scale and expansion Improvements within existing core user flows to provide advisors with a best-in-class experience Improve and scale existing suite of AI products Iterate on Vise’s visual style and contribute new patterns an

P-931 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. At Databricks, the Compute Infrastructure organization builds and operates the foundation that runs all Data, AI and stateful workloads across all major clouds. Our platform launches tens of millions of VMs per day, operates thousands of Kubernetes clusters, and must deliver extreme elasticity, reliability and cost efficiency. We are looking for an Engineering Manager to lead a team responsible for critical components of this platform. Your work will directly influence product velocity, customer experience, and the company’s ability to scale. The impact you will have: Own and evolve the compute platform to support all Databricks workloads , enabling engineers to build world-class products with high velocity and best-in-class performance. Hire exceptional engineers and invest in their growth through coaching, feedback, and career development. Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset . Partner with engineering and product leadership to define long-term strategy and roadmaps. Lead cross-team initiatives that span product and infrastructure surface areas. Influence architectural decisions beyond your immediate team. What we look for: 10+ years of experience building and operating large-scale distributed systems , including strong prac