Data Scientist Job Description [Template Included]
Who is a Data Scientist?
The sudden rise in popularity of Data Scientists in the last decade reflects how businesses now think about big data. They are mathematicians & computer scientists rolled into one, and dominate the world of big data. The virtual goldmine of unstructured information needs someone to dig deep & decipher. Data scientists help boost revenue by sifting through the fluff & finding valuable business insights.
Data scientists typically have formal training in statistics, math, computer science, and economics. They have a wide range of technical competencies, including coding languages, databases, machine learning, and reporting technologies.
They work cross-functionally with other teams, such as operations, marketing, and customer success. They are highly sought after in today’s data & tech-heavy economy, and their paychecks & job growth clearly reflect that.
Whether it’s the thrill of problem-solving or the sizeable paychecks, the perks of being a data scientist are luring many IT professionals to choose this career path.
If you’re looking to hire one, this article has everything you need to know about acquiring a data scientist. We’ve covered a data scientist’s job description, the skills & qualifications, and the roles & responsibilities.
The work of a data scientist can be intellectually challenging, analytically satisfying, and puts them at the forefront of new advances in technology. Data scientists have become more prevalent, and in demand, as big data continues to be increasingly crucial to the way companies make decisions.
Why write job descriptions?
Job descriptions are helpful for candidates and employers alike.
They attract prospective candidates qualified for the role from various sources. The ability to post & share jobs on platforms like LinkedIn, Meta, Twitter & email provides exponential reachability.
A clear job description sets the right expectations for potential candidates. This gives them a chance to self-filter themselves from applying, saving everybody’s time. And qualified professionals who eventually apply are better equipped to prepare for interviews.
The job descriptions are often the first point of contact candidates will have with your firm & this can greatly shape their first impression. Any grammatical errors, factually incorrect detail, unnecessary usage of jargon, or even the tone of voice can put them off, leaving a lasting impression.
Lastly, the list of roles & responsibilities can stand as a baseline once the candidate is hired. A reference to measure their growth, performance reviews & appraisals.
Companies around the world are hiring Data Scientists in droves, but the competition is fierce. The first step to hiring a great Data Scientist is writing a great job description.
Here is a free sample of a Data Scientist’s job description for you to alter and customize to include essential responsibilities and requirements while reflecting your unique company mission and culture.
Data Scientist Job Description Template
Company Overview
[Use this section to provide a high-level overview of your company, culture, perks and benefits, career development opportunities and anything else that will get candidates excited about your company.]
Job Overview
[Use this section to provide a brief overview of the role. Try to keep this to a maximum of three or four sentences. The responsibilities and requirements sections will tell the rest of the story.]
Roles & Responsibilities
- Own and lead product development within our data pipeline.
- Modify, optimize and scale our existing Data Science products and solutions.
- Develop and implement new methodologies, algorithms and models that will improve how we leverage our data.
- Extract and manipulate data from our existing data sources (including analysis and reporting).
- Lead the identification and development of new data sources.
- Work collaboratively with team members across the company (engineering, product, etc.) to translate your findings into solutions.
- Communicate data-driven recommendations in a concise and understandable manner.
- Mentor junior analysts and engineers toward continued career growth.
Data Scientist Qualification & Requirements
- BSc in Mathematics, Computer Science or a related quantitative field.
- X years of professional experience in Data Science.
- Deep experience with [insert preferred coding languages and technology].
- Demonstrable experience with Machine Learning and Natural Language Processing.
- Comprehensive knowledge of predictive analytics, statistical modelling and data mining (experience with data visualization preferred but not required).
- Comfortable working with large/corrupt/incomplete data sets.
- Exceptional organizational skills and a tenacious dedication to problem-solving.
- The ability to effectively communicate highly technical data to a non-technical audience.
Lastly, consider including certain other categories in your description that will make candidates favour your company over your competition.
Information on compensation
Every job description should include at least the salary range. Most candidates expect a particular pay scale, and it’s essential to be upfront with your offer so that candidates can pursue something that better suits their needs.
61% of job seekers consider compensation information the most important part. Many companies refuse to provide this information in job descriptions, but it’s time to get over your discomfort. This only saves everybody’s time, effort & money.
Nice-to-Have Skills
This is entirely optional. If any other qualities are nice to have, mention them here. This section can be skipped, but it may help candidates know what to include in the application or interview to stand out.
Call To Action
Ensure it is blatantly apparent where a candidate is supposed to apply. Do not make it complicated or convoluted to apply because that will reduce your applicant pool for the wrong reasons.
Conclusion
If your company requires assistance in hiring the highly sought-after Data Scientist, reach out to the experts at Anzy Global. We’ve recruited tech talents for various roles for over a decade and have a wide database of vetted & qualified candidates.
We believe in providing our clients with the highest level of service as we swiftly close open roles.
Reach us for a free, no-obligation consultation – we’ll get right back to you!
Sources:
builtin.com
