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Yashica Chopra
October 03, 2024
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Hire Data Scientists or Developers – Right Choice For Scaling Enterprises?

A data scientist deals with data, while a developer works with programming languages. However, there’s a lot more to know about their jobs. Here, we’ll discuss why businesses hire data scientists and developers and why they opt for IT staff augmentation services. Information technology (IT) is a huge part of our lives, personally and professionally. The IT industry is an independent entity that also plays a role in several other industries and sectors like manufacturing, finance, healthcare, EdTech, travel, entertainment, etc. As businesses grow and scale into larger enterprises, IT becomes crucial in running daily activities and making important decisions. Software developers, engineers, AI and ML developers, data scientists, data analysts, etc., become a part of enterprises in many industries. Naturally, there is a high demand and supply of software developers in the internal market. Statistics show that there are 28.7 million software developers globally in 2024. According to Gartner, worldwide spending on IT services is expected to touch $5 trillion in 2024, which would be a 6.8% increase from 2023. This makes IT services the largest segment of IT spending in the global market. Almost every startup, SMB, and large enterprise need some form of IT service – tools, technologies, and human expertise. This brings us to an important question. Should you hire a developer to scale your enterprise or should you invest in a data scientist? What roles and responsibilities do they have? How can data scientists boost your business? Let’s find out in this blog. Role of a Developer in an Enterprise In simple terms, a developer is a professional who writes code (programming language) to design, build, and develop software applications. Over the years, software development has gone much beyond writing games or basic computer programs. Typically, developers are categorized into two types: Developers are essential in many industries as they create software to help businesses overcome their challenges and find tech-based solutions. For example, a software developer can create a program or application to manage inventory in a manufacturing enterprise. They can customize open-source inventory software to align with the manufacturer’s requirements and industry standards. This enables the enterprise to optimize its resources and manage the stock effectively. However, not every enterprise needs to hire developers on the payroll. That’s where IT staff augmentation companies enter the picture. You can hire a software developer or a team to work on your project and deliver the results. It is easy to build a team of experts without going through the extensive recruitment process. The pricing is also cost-effective. Role of a Data Scientist Data science is one of the popular career paths in today’s world. A data scientist is a professional who combines expertise in different fields like computer science, statistics, mathematics, and modeling to study large amounts of data and unlock its full potential. In a modern scenario where data-driven decision-making is considered the best way to run a business, the presence of a data scientist in an enterprise is priceless. Generally speaking, when you hire data scientists, they are responsible for the following tasks: Data scientists deal with all types of data (raw, processed, structured, unstructured, semi-structured, etc.) containing textual, numerical, and multimedia elements. They use statistical models and advanced tools powered by artificial intelligence and machine learning to handle such vast amounts of data every day. There’s an increase in demand for data scientists, which makes it hard to hire top talent on short notice. However, IT staffing solutions make it easy to work with experienced data scientists to streamline your enterprise data and scale the business to suit your long-term goals. You can even get an estimate of how much it would cost to temporarily hire data scientists for your organization. Are Data Scientists Also Developers? A data scientist should have coding skills as well as in-depth knowledge of mathematics, statistics, machine learning, and analytics. However, a data scientist cannot be a developer since their role is centered on data and its uses. Developers are more focused on the systems, frameworks, software, application development and usage, etc. There is an overlap in the skills and qualifications but both roles are distinctive and have different purposes. Moreover, a bachelor’s degree is enough for a developer in many positions while an advanced (master’s) degree or diploma is preferred for a data scientist. So, is a developer better than a data scientist? There is no proper answer to this question. The specifications of both positions are different and equally important. A business needs developers, data scientists, data engineers, and data analysts to create a robust IT infrastructure and adopt the data-driven decision-making model. However, if you want a professional with developer skills and extra abilities, it is better to hire data engineers. A data engineer builds and develops the IT infrastructure and takes care of data management in the enterprise. It’s a role with more responsibilities and complexities than a developer. Fortunately, IT staffing services have made it easy to identify and choose the right professionals based on your changing requirements. Staff augmentation services allow businesses to expand internal teams or build new teams with diverse skill sets. You just have to share your requirements or project details with the staff augmentation company. It will assist in hiring talented candidates and building a customized team in less than a week. Whether you want a developer, data scientist, or both, the service provider will make it happen. What is IT Staff Augmentation? IT staff augmentation services have been mentioned multiple times so far. But are these services? Why should you hire Python developers, data scientists, or data engineers through staff augmentation companies? Let’s find out. Staff augmentation services fall under the umbrella term ‘outsourcing’. However, staff augmentation has a stark difference with outsourcing as it gives businesses more control over the teams, resources, and projects. In staff augmentation, you can hire one or more candidates to work on your project (on-premises or remote) for the given duration. The candidate will be your employee for that

Manpreet Kaur
August 12, 2024
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Team Augmentation Services In Finance: Guide To Hire Data Scientists in Finance Companies

In this blog, we’ll discuss team augmentation services in finance, covering their benefits, types, working, key considerations, and when to use them. It also talks about the pros and cons, highlighting the importance of hiring specialized skills. Suppose you are manufacturing a tech product with your internal engineers at the software firm, but you want to speed up the product creation process. You can also hire one group of engineers for a particular part of your product and require additional professionals to work on another part. However, the recruitment of qualified human capital in the local market is a major challenge due to scarcity, and the entire process is rather cumbersome and costly. What options do you have? Lately, big and small firms have used staff augmentation with the teams to overcome this problem. Employers can correct this situation by outsourcing talents from a pool of candidates through flexible and efficient engagements for full-time employees. Team augmentation services are widely utilized, and the global staffing industry—a key provider of augmentation talent—is estimated to contribute to a $490 billion annual market. According to another research by PR Newswire, the IT staff augmentation services market is projected to reach $81.87 billion at a CAGR of 3.53%. Here’s a comprehensive overview of staff and team augmentation, its key benefits, and how it can be effectively applied to your business. What are Team Augmentation Services? Team augmentation services in finance involve temporarily filling a company’s need for human resources or specialized skills without recruiting permanent employees. These services enable the firm to outsource professionals to join the firm’s workforce as employees but with less legal responsibility and often at a lower rate. These professionals can work within the company or from a distance, on a permanent/ temporary/ regular/ occasional basis, depending on the company’s needs and the resources required by the employees. Considering the described services, it is imperative to state that the advancement of team augmentation services is observed in almost all industries, including the finance market. This has turned out to be a common practice mostly for companies that are in the process of searching for top talents to attend to their needs in the short term and at a considerably cheaper cost than hiring full-time employees with similar competency levels. This strategy is especially helpful for dealing with workload fluctuations and mitigating gaps that arise when the workload is beyond the present staff’s capacity for some period but not significant enough to warrant hiring new employees. How Team Augmentation Services Work? When your financial organization faces specific project requirements and tight deadlines, team augmentation services might provide the competitive advantage you need. Here’s how IT team augmentation works: Step 1: Identify Skill Gaps Begin by pinpointing the areas where your company lacks expertise. Assess the resources that could enhance your organization or support your current employees. Determine which specialized skills or knowledge are essential to achieving your project objectives and deadlines. This analysis helps your team augmentation solutions provider match you with the best candidates for the roles you need to fill. Step 2: Search for Temporary Talent The next phase involves finding temporary professionals to meet your organization’s needs. While it is possible to handle this process internally, many larger companies prefer to use team augmentation services. These providers offer a time-efficient, cost-effective way to supplement your staff with the necessary expertise. Step 3: Onboarding Once you’ve identified the ideal candidates, the final step is to integrate them into your organization through a structured onboarding process. This ensures they are well-prepared to contribute effectively to your projects from the start. Types of Team Augmentation Services in Finance Team augmentation in finance involves bolstering an existing financial team with external experts to enhance capabilities, address skill gaps, or manage increased workloads. Here are some common types of team augmentation: 1. Project-Based Team Augmentation In this model, external finance professionals are brought in to work on specific projects or initiatives. They collaborate with the internal team to complete the project within a defined timeline and scope. This approach is particularly useful when organizations require specialized skills or need to accelerate project delivery. 2. Dedicated Financial Team Here, an external team is formed with the special focus given to a particular financial project which is, therefore, carried out for a long time. This devoted team works separately maintaining the organization’s standards and procedures to blend with the internal environment. 3. On-Demand Expertise There can be situations when specific issues have to be solved, or specific approaches have to be applied, and to do it, financial teams can turn to SMEs or staff augmentation partners. Outsourcing experts means that organizations can have access to outside specialists who can contribute to the resolution of specific issues or assist in the solution of specific questions. 4. Nearshore and Offshore Team Augmentation This requires a team augmentation company, which are situated in various geographical locations. Nearshore teams work in the neighboring time zones while offshore teams work in other time zones. Such arrangements provide cost efficiency, increased opportunities for finding personnel, and the flexibility of expanding the coverage of a team through the different time zones. 5. Freelance Platforms There is a primary characteristic of gig marketplaces such as Upwork or Guru. This kind of augmentation is good for task-specific needs and is structured to allow businesses to hire data engineers hourly or at a fixed rate. Freelancers, one of the main sources of augmentation talent, have been around for quite some time but have only recently grown by leaps and bounds with the help of international freelancer platforms. Each type of team augmentation in finance offers unique advantages and considerations. The choice depends on project requirements, budget, time constraints, and the specific skills needed to complement the existing team. What Should You Consider For Team Augmentation Services? IT Staff augmentation services offer unique benefits but require careful consideration. Here’s a look at key factors and common misconceptions. 1. Project Duration Team augmentation can uniquely meet

Yashica Chopra
July 16, 2024
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How to Hire Data Scientists for Your Next IT Project?

The crucial importance of defining roles, selecting candidates, and evaluating soft and technical abilities, this article focuses on- guide to hire data scientists for your next project, and how their varied technical expertise can help make informed business decisions. In addition, it provides the best practices for integrating and maintaining top data science talent in IT projects, highlighting their value to overall business productivity. Data scientists are in high demand in the tech business. According to a recent study, there will be a 28% increase in demand for data scientists by 2026, indicating a substantial rise in possibilities and the critical role these professionals play in the success of organizations. However, what precisely makes data scientists so important? Beyond simply being statisticians, data scientists are critical thinkers who can transform huge amounts of digital data into useful insights that spur creativity and decision-making. They offer a special combination of abilities that can interpret intricate patterns, predict trends, and improve data security thanks to their knowledge of machine learning, predictive analytics, and statistical modeling. These features are not merely extras; rather, they are crucial elements that can make or break IT projects in a variety of sectors, including banking, healthcare, retail, and more. With data breaches costing businesses an average of $4.45 million for each incident, data scientists’ capacity to enhance data security and compliance frameworks is more important than ever. Understanding the Role of a Data Scientist To forecast patterns, understand market trends, and provide significant solutions that improve business performance and strategic planning, data scientists examine and interpret enormous datasets. Predictive analytics, which is predicted to have a $28 billion market by 2026, is the core of a data scientist’s work in IT projects. It demonstrates how corporations increasingly depend on complex modeling approaches to predict future events and optimize operations. To improve both the user experience and operational effectiveness globally, Uber, for instance, hires data scientists to modify and optimize routes in real time, resulting in dramatically shorter wait times for consumers and increased efficiency for drivers. Data scientists contribute a wide range of technical abilities that are critical in today’s technologically advanced environment. Being proficient in machine learning makes it possible to create predictive models and automate data processing, both of which are becoming essential as artificial intelligence and automation gain prominence. Proficiency in statistical analysis and data manipulation along with proficiency in programming languages such as Python or R is crucial. The use of programs like Tableau or PowerBI enables the production of understandable, useful visual data representations and generates insights from complicated datasets. Data scientists’ strategic usefulness also goes beyond their technical expertise. Businesses with strong data-driven decision-making capabilities claim 4% higher productivity and 6% higher profits. Preparing to Hire Data Scientists Careful preparation and clear role definition are necessary before hiring data scientists to guarantee that the proper talent is drawn in and fits the project’s unique requirements. Companies first need to identify the precise issues that the data scientist will try to solve. It might involve anything from using predictive analytics to optimize supply chain operations to improving consumer experiences through tailored recommendations. In addition, the position can create brand-new data-driven solutions or enhance current ones, which would affect the degree of expertise and abilities required. Financial factors are also quite important. According to Glassdoor, the average annual income for a data scientist in the United States is roughly $156,852, but this can vary greatly based on the candidate’s industry, expertise, and location. Expenses like bonuses, benefits, and possibly stock need to be taken into account as well, particularly in industries with high competition. These costs, along with the integration and ongoing training required to keep the data scientist abreast of technological advancements, should be included in an effective budget. The project’s duration and scope will also determine whether to hire data scientists on a full-time basis, as a freelancer, or as a contractor. While full-time roles give stability and growth opportunities—critical for retaining top people and guaranteeing project continuity—contract or freelancing choices offer flexibility. They can be cost-effective for short-term needs with defined durations. Sourcing Candidates to Hire Data Scientists An IT project’s success depends on finding the right data scientist, which calls for a systematic approach to candidate sourcing. With its extensive user base of more than 900 million, LinkedIn is a powerful tool for narrowing down possible candidates based on their geographies, experiences, and skill sets. Employers can evaluate candidates’ contributions to open-source projects and evaluate their coding talents on GitHub, which is crucial for technical professions involving data management and software development. A pool of data specialists actively looking for new possibilities is also accessible through specialized job platforms, guaranteeing high visibility for job posts among relevant audiences. Even in the age of digital technologies, personal networking is still a big part of hiring. Attending industry events is a great way to get to know data scientists in a more casual atmosphere and have conversations that can reveal more about a candidate’s background and possible cultural fit. Hiring companies that specialize in IT roles can expedite the recruitment process for organizations that require certain talents or need to hire people quickly. IT Staff augmentation is an effective way to manage changing project needs because it gives businesses the flexibility to increase their workforce by project demands without having to commit to long-term employment. Evaluating Candidates to Hire Data Scientists A thorough examination of candidates’ portfolios is necessary for an efficient evaluation of their technical aptitude. These may include contributions to open-source projects or published research that demonstrates the candidate’s mastery of challenging data chores. In addition, coding tests evaluate technical proficiency by concentrating on fundamental programming languages and tools like Python, R, and SQL. However, technological proficiency is insufficient on its own. Soft skills like problem-solving, cooperation, and communication are equally crucial. To communicate complicated data findings understandably and efficiently, data scientists must possess good interpersonal skills, as they frequently work across departments. According to a LinkedIn survey,

Yashica Chopra
July 05, 2024
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Best IT Staffing Firms to Hire Python Developers in the USA

Python is a versatile and easy-to-use programming language. It can be used to build any kind of app and offers great scalability. Here, we’ll discuss the top 10 IT staffing companies to hire Python developers from, in the US and the role played by them in streamlining the process. Python is a popular programming language used by developers in the IT industry. It is easy to use, versatile, and scalable. Python can be used to develop diverse applications for many purposes, such as website design, data research, software development, robotics, etc. Even prototyping is seamless and uncomplicated with Python. Python developers work in the backend and coordinate with other software developers, data engineers, app developers, website designers, and others. They also work with machine learning developers to build and deploy ML applications on any scale and AI engineers to build generative AI models. A report says that there has been a 22.5% year-over-year increase in Python adoption. Several SMBs and large businesses hire Python developers through IT staffing companies to bridge the talent gap in their organizations and achieve their goals. You can also find Python freelance developers to work on your projects. While some offer remote services, some developers are open to hybrid working options. However, it is more beneficial to hire Python staff augmentation services from reputed companies in the US. Let’s take a look at the top ten companies offering Python developers and other data engineers in the US. Is Python in Demand in the USA? Yes, there is a high demand for Python developers in the USA. Entry-level, mid-level, and senior-level positions are open for recruiting or staff augmentation, depending on the organization’s requirements. While freshers are developers with less than two years of experience and are suitable for entry-level jobs, senior Python developers are expected to have a minimum of eight years of experience. Mid and senior developers work on complex and large-scale projects. Instead of hiring someone permanently on the payroll, many organizations partner with IT staffing companies to quickly build a team of experienced professionals to initiate the project. Top 10 Staffing Firms to Hire Python Developers in the USA 1. DataToBiz DataToBiz is an AI development and digital transformation company offering diverse IT staff augmentation services in the US. It works with clients from several industries, like manufacturing, healthcare, entertainment, logistics, hospitality, retail, eCommerce, FinTech, EdTech, etc. Small, medium, and large enterprises and startups can hire Python developers with years of domain expertise to work on their projects. The company’s pricing is flexible, scalable, and transparent. Businesses can choose between project-based, hour-based, and full-time hiring models depending on their requirements. DataToBiz offers end-to-end services, making it easy to hire data scientists, data engineers, data analysts, AI/ ML engineers, etc., to build a robust team for cost-effective pricing. The award-winning company has an extensive project portfolio and a presence on different continents. Glassdoor Rating: 4.8 stars Clutch Rating: 4.8 stars 2. Prismetric Prismetric is an IT outsourcing company that empowers its clients with the latest technologies and best practices. It has a presence in different industries such as FinTech, retail, logistics, automotive, entertainment, travel, and others. Organizations can hire Python developer services from the company to get 24*7 unconditional support and access to expertise. It offers customer-centric Python development services to increase project efficiency and reduce costs. The company has a five-stage process for clients to discuss their requirements, directly interact with experts, choose a pricing model, and kick-start the project in a couple of days. Prismetric offers full-time, part-time, and hourly hiring models. It works with startups as well as large-scale enterprises by providing them with innovative solutions to address their concerns. Glassdoor Rating: 4.2 stars Clutch Rating: 4.8 stars 3. Inexture Inexture is a software development company in the US focused on offering creativity, honesty, and sustainability to its clients. The company works with organizations from food and restaurant, enterprise, travel, healthcare, entertainment, sports, eCommerce, and other industries. Businesses can hire Python coder and development services to build advanced Python solutions for their requirements. It offers comprehensive maintenance and support services to clients to ensure consistent productivity and results from the projects. The company has certified Python developers. Inexture also adheres to complete testing and quality assurance standards. It believes in pushing the boundaries of innovation and offering leading-edge technologies to businesses to suit their vision and objectives. The company offers a client-centric approach and has a reputation for delivering projects on time. Glassdoor Rating: 3.7 stars Clutch Rating: 5 stars 4. Apriorit Apriorit is a software development company that provides solutions for startups and tech businesses in the US and other countries. It has experience in industries like finance, cybersecurity, automotive, healthcare, and telecom. Businesses can hire Python programmers from the company to work on diverse projects, ranging from prototype development to AI systems, IoT (Internet of Things) applications, third-party integrations, long-term maintenance, and much more. It builds custom apps for desktops and the cloud (native and SaaS). The company offers outsourced Python development services for different kinds of projects. From web applications to microservices and reverse engineering, Apriorit has delivered many successful solutions for its clients. It specializes in cybersecurity and builds secure software products to help businesses achieve their goals. Glassdoor Rating: 4.9 stars Clutch Rating: 4.9 stars 5. Travancore Analytics Travancore Analytics is a custom software development company that creates sustainable solutions tailored to suit the varying requirements of each business client. The company offers cutting-edge technologies and experienced services for businesses to overcome various challenges and roadblocks. It provides freelance Python coder teams for clients from sectors dealing with healthcare, manufacturing, media, sports, and enterprise solutions. The company helps organizations gain a competitive edge in the market by offering web and mobile development services, DevOps consulting, testing, no-code app development, software product engineering, etc. Travancore Analytics is an ISO 9001:2015 certified Python developer company in the US. It builds AR, VR, and generative AI tools to speed up the adoption of digital transformation and bridge

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