Data Scientist Job Description
What is a Data Scientist Professional?
A data scientist is a professional who uses their mathematical, statistical and computational skills to collect, cleanse, organize and analyse large amounts of complex data. They then use this information to develop new insights that can help organisations improve their decision-making processes or solve problems. The role of a data scientist has evolved over the past few years as businesses have become increasingly reliant on data to drive growth.
What does a Data Scientist Expert do?
In the early days of big data, most organisations simply hired analysts to pore over huge datasets in search of patterns and trends. However, as technology progressed and more sophisticated tools were developed for dealing with large quantities of information, it became clear that there was a need for experts who could not only find interesting insights hidden in mountains of raw data but also communicate these findings clearly to non-technical stakeholders such as senior managers and executives. This is where data scientists come in – they are able bridge the gap between technical teams working with machine learning algorithms on one side, and business leaders making decisions based on those outputs on the other
What are the Skills of a Data Scientist?
A data scientist needs a variety of skills and experience in order to be successful. Firstly, they need strong analytical skills in order to make sense of large amounts of data. They also need excellent problem-solving abilities so that they can identify patterns and trends within the data. Additionally,data scientists must have good communication skills as they will often need to present their findings to other people within an organisation. Finally, while not essential, it can be useful for a data scientist to have some knowledge of programming languages such as R or Python as this will allow them to automate certain tasks 1) Strong mathematical ability: A data scientist must be able to understand and work with complex mathematical concepts such as statistics, probability theory, linear algebra etc. They need to be able to apply these concepts in order to solve real world problems.
What makes an Expert Data Scientist?
Programming expertise: Data scientist must be highly skilled in at least one programming language (such as R, Python or Java), and have the ability to write code efficiently and effectively. They should also be comfortable working with large datasets using various tools and techniques.) domain Knowledge: Depending on their area of specialization/expertise, a data scientist might need strongDomain knowledge in fields like finance, healthcare etc., In addition to having strong theoretical understanding of these domains
What level of Experience & Qualifications are required to be a Data Scientist?
Industry Experience: 1. 2+ years of experience working extensively with data, analytics or related fields such as machine learning, artificial intelligence (AI) and/or big data technologies. 2. Proven ability to interpret large quantities of complex information into actionable insights & recommendations that drive business decisions & strategies. 3. Demonstrated success in developing predictive models using advanced statistical techniques including linear regression, logistic regression and decision trees etc., as well as being comfortable dealing with unstructured datasets from multiple sources like web logs and sensor networks etc.. 4. Ability to work independently on projects requiring creative solutions while consulting colleagues when appropriate to ensure successful outcomes for the organization at large scale initiatives involving significant resources over extended periods of time is a must-have requirement Training: 1. Professional certifications in relevant areas such as SAS Certified Data Scientist or AWS Machine Learning Specialty are highly desirable qualifications for this role . 2 Expertise in programming languages such SQL , Python , R /SAS is essential 3 Familiarity with various software tools used by industry experts for exploratory analysis, visualization and reporting 4 A good understanding about cloud computing infrastructure hosting options available 5 Working knowledge on distributed file system like HDFS will be an added advantage Qualifications: 1 Bachelors degree or higher level qualification preferably in Computer Science/Information Technology/Statistics/Mathematics related field 2 Master’s degree preferred but not required depending upon individual circumstances Education : 1 Deep theoretical background combined with practical hands-on experience of applying state-of-the art algorithms across all stages of the problem solving process including feature engineering; model development; validation; deployment ; monitoring performance metrics post production rollout 2 Understanding key concepts around statistics ; probability theory ; linear algebra ; calculus--and its application to real world scenarios 3 Knowledge on natural language processing principles alongwith their implementation through libraries like NLTK
What is the Salary of a Data Scientist?
A data scientists salary expectations can vary significantly depending on their level of experience and the location in which they work. Junior Data Scientists typically have a Bachelor’s degree or equivalent and may be new to the field. They are generally paid an average annual salary of $75,000 - $90,000 USD per year in North America. In Europe, salaries range from €50,000-€70,000 EUR annually; while in Asia Pacific countries such as India and China salaries start at around ₹4 lakhs (INR) up to ₹18 lakhs (INR). Mid-level Data Scientists usually have at least three years of professional experience with a Master’s degree or higher education qualification plus some additional technical skillsets that are desirable for advanced analytics roles like machine learning algorithms development or big data systems engineering. Salaries for this group range from approximately $105–125K USD per annum within North America whilst European counterparts earn between €80-100k EUR annually; similarly APAC regions offer mid-level professionals remuneration packages ranging between INR 10 Lakh – 15 Lakh yearly based upon skill sets & city/location factors also coming into play here. Senior Data Scientists will likely possess five or more years worth of industry knowledge along with extensive hands on expertise with various datasets including text mining techniques & distributed computing paradigms etc.. With these sought after qualifications senior practitioners command excellent wages upwards of US$150K+ p/a across all areas but especially so when working within tech hubs such as Silicon Valley , Seattle & Austin where pay rates exceed US$180K+. Equally those operating outwith USA borders can expect similar levels albeit currency conversions being taken into consideration ; eu nations paying circa 120 – 140 k euro / yr . Likewise Indian cities provide attractive remunerations approximating 14L + pa .
What are the Working Conditions for a Data Scientist?
Data scientists typically work in an office setting, but they may also be required to travel or attend meetings at various locations. They usually collaborate closely with other members of their team, such as engineers and analysts. The working hours are generally flexible and can involve long hours when deadlines approach or special projects arise. In terms of job responsibilities, data scientists use a variety of tools and methods to analyze large datasets, develop predictive models based on the findings from those analyses, interpret results for non-technical stakeholders (e.g., executives), implement advanced analytics solutions into existing systems or applications that help solve business problems, create visualizations that make complex technical analysis easier to understand by all users, provide input into decision making processes based on the insights gleaned from their research/analysis efforts; among many others tasks related to using Big Data effectively for business intelligence purposes.
What are the roles and responsibilities of a Data Scientist?
Actively participate in data mining and warehousing processes, including gathering requirements, designingETLs, conducting unit testing and creating documentation
Understand the business context of projects and be able to translate between business objectives and technical solutions
Design innovative end-to-end analytics solutions using state of the art methods such as predictive modeling, text analytics, social network analysis etc.
Develop custom algorithms and statistical models for a variety of applications such as target marketing , customer segmentation , pricing optimization etc .
Communicate effectively with stakeholders to understand their needs and explain results/methodologies both verbally and in writing
. Identify patterns
. Draw insights
Create Reports
Present Data
Query Databases
Process Raw Data
Organize Information
Clean Data Sets
Remove Outliers
Handle Missing Values
Select Features
Train Models
Test Models
Improve Accuracy
Time Series Analysis
Where can I find Data Scientist jobs?
- Create a profile on gigexchange and promote your Data Scientist skills to advertise you are Open to New Work Opportunities
- Ensure your Resume (or CV), or online work profile is up to date and represents your skills and experience. Ensure your reputation reflects your ability & attitude.
- Apply for Data Scientist Jobs advertised on gigexchange.
- Practise Data Scientist interview techniques to ensure you represent your personality and ability succinctly and confidently.
- Accept the job offer if the salary meets your expectations and the employer mission and purpose reflects your core values.
Jobs
What are the best job boards for Data Analyst jobs?
How can I hire Data Scientist staff online for my business?
The best job board for recruiting Data Scientist experts is gigexchange.com. Advertise full-time, part-time or contract jobs to find, hire & recruit trusted, experienced and talented Data Scientist candidates near you.
Are Data Scientist roles in demand in 2024?
Data Scientist experts are still in high demand in 2024. If you are an experienced Data Scientist or looking to train and become one. The job market is looking strong for Data Scientist jobs near me.