Data Science Jobs

Opportunities for Data Scientists, Engineers, Architects & Analysts

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The Demand for Data Scientists is Growing

Data science is an exciting, ever-expanding new field that offers you the chance to shape how organizations work with large amounts of data, including making strong decisions, identifying data trends, and creating predictive models based on historical data. Data scientist jobs are a good fit for people with solid analytical and reasoning skills, and becoming a data scientist is one of the best ways to contribute to the ongoing technological progress of machine learning and deep learning concepts.

People who become data science analysts and data researchers might work for any number of different companies in widely varying fields, so there’s a lot of room to follow your passions and interests while you build a stable career at the same time. And with plenty of room for growth within the field itself, you’ll always have interesting job prospects on the horizon to look forward to.

Unleash Your Potential in Data Science

Ready to make your mark in the world of data?
Apply now if you’re ready to explore exciting data science opportunities with our recruiters.

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What Do Data Scientists Do?

Data science jobs can involve lots of different data sets, and many different industries now leverage data analytics in order to deliver optimal value, so anyone considering a career in data science has a lot of options to choose from.

Responsibilities of a Junior Data Scientist

Even basic data science positions are highly technological, requiring lots of intensive analysis, programming, and critical thinking skills. For example, a junior level data scientist might spend a lot of time collecting data sets for later analysis, or analyzing large data sets to discern any underlying trends.

Senior Data Analysts: Strategy and Insight

Some senior level data science positions are less concerned with manipulating data and more concerned with understanding the valuable insights that data may offer. These data science analysts get to shape the future of their organizations by collaborating with business leaders to share their insights and clarify the business’ overall data strategy.

Unleash Your Potential in Data Science

Ready to make your mark in the world of data?
Apply now if you’re ready to explore exciting data science opportunities with our recruiters.

Apply Now

Key Skills for Your Career in Data Science

Data science jobs can involve lots of different data sets, and many different industries now leverage data analytics in order to deliver optimal value, so anyone considering a career in data science has a lot of options to choose from.

  • data science manager - PTP

    Qualitative Reasoning

    Data science is a math-heavy discipline, so make sure you’re beyond comfortable performing advanced mathematical and statistical operations on a daily basis. If you’ve got proven experience putting your analysis to work solving real-world problems, even better!

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    Programming Ability

    Like lots of jobs in tech, most data scientist roles require you to be familiar with at least one programming language. Popular choices are Python and R, which are commonly used in statistical analysis.

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    Database Management

    As any senior level data scientist could tell you, your career is dependent on the quality of your data. Don’t leave your result to chance; make sure you know how to keep key databases running smoothly and yielding clean data.

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    Machine Learning/Deep Learning

    Advances in technology have made life as a data scientist much easier, allowing you to gather and analyze data more quickly than ever before. Machine learning, deep learning, and artificial intelligence (AI) will become critical for future data science roles.

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    Collaboration and Teamwork Skills

    Tech is a team sport! As a data scientist, your day-to-day tasks might happen deep in databases and spreadsheets, but the results of your work are meant to help resolve wider issues. Make sure you know what your team’s priorities and concerns are by keeping communication open and clear.

What Is the Future of Data Science Jobs?

Whether you’re launching a new data science career or seeking roles requiring much more experience, the future outlook of this field is strong. Salaries are extremely competitive, and recent research shows that the average number of data science job openings is forecast to increase by almost 40% over the next decade, making data science jobs as numerous as the demand for them is high. Well-qualified candidates with data science skill sets and experience will not lack work for long.

Frequently Asked Questions

  • How does data science differ from Big Data or Data Analytics?

    Data science, “Big Data”, and data analytics are sometimes used very closely, but they each refer to a distinct concept:

    • Data science refers to the approach used to deliver insights from a data set through a multidisciplinary mixture of tactics including math, statistics, programmatic techniques, and even machine learning.
    • Big Data is a term that’s popular to use when referring to extremely large data sets that often exceed the capacity of standard data tooling.
    • Data analytics is the process of extracting meaningful information by analyzing data. In most cases, the techniques in question are performed on Big Data, but will work when applied to almost any data set provided.
  • Is it difficult to get a job in data science?

    If you want to become an entry level data scientist, you may be wondering if data science jobs are very difficult to get. Data science absolutely deserves its reputation as a tough field with certain barriers to entry, and you should prepare to work hard developing the skill set needed to be successful, but aside from this stipulation it is a career like any other. Your passion and drive for the subjects you work with will sustain your momentum, as long as you plan your next steps with care.

  • What qualifications are required to become a data scientist?

    While it’s difficult to generalize about the required skill set, as (for example) data science engineering jobs are going to be fairly different in scope from data science analyst jobs, and so forth, there are certain must-have qualifications that will set you up for a great data science career, as well as signal to prospective employers that you’re able to handle their challenges and then some. Here are a few qualifications you’ll want to make sure you have before aiming for entry level data science jobs:

    • Almost any data science role will require at least a bachelor’s degree, generally in a STEM or computer-related field (very high-level roles may also require a master’s degree).
    • Strong mathematical skills, including statistics and calculus, are non-negotiable in most data science roles.
    • Data science professionals possess rock-solid programming abilities to tackle the toughest challenges impeding organizational innovation.
    • It’s often a good idea to attain several relevant professional certifications (most commonly, IBM’s Data Science Professional Certificate and Google’s Data Analytics Professional Certificate; more specific certificates will vary from industry to industry).
  • Which Industries have the most demand for data science engineers?

    Most modern companies that have undergone a digital transformation will realize a clear use case for bringing data science professionals into their organization. However, you can find data scientist job openings in countless industries worldwide, ensuring near-limitless career potential as well as a steady stream of new and interesting projects to run. Even more exciting, as technology advances, new opportunities appear almost daily. Here are a few examples of industries experiencing a strong demand for data analysts and engineers:

    • Banking and financial services
    • Retail and eCommerce
    • Healthcare
    • Education (K-12 and university level)

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