Phd Positions On Data Science Theme Servicesresume Examples & Samples
- Participate in activities of the group, not only in s Hertogenbosch but also in Eindhoven and Tilburg
- Be willing to work at multiple locations
- Possess good communication capabilities and be an efficient team worker
- Be fluent in English, both spoken and written
- A full-time temporary appointment. The duration of the contract will depend on where the organizational positioning will take place
Tailor Your Resume To Data Science Job Postings
Many aspiring data scientists may simply make one resume and send it out to various jobs.
It’s certainly possible to receive many job offers this way. Still, it’s much more effective to take the extra time and tailor your resume to the specific data science jobs.
The reason for this is simple. More often than not, the company you’re applying to is using ATS software.
ATS works like a search engine web crawler, scanning texts for particular keywords.
If you tailor your data science resume to the keywords found in the job listing, you significantly boost your chances of making it past this software.
But it doesn’t just stop there. Once your resume makes it past ATS, a human will inevitably review it. They, too, will notice that your resume matches the keywords found in the job description, which communicates that you’re a good fit and pay attention to the details.
Given how little time recruiters will spend evaluating your resume, it’s generally a good idea to take the extra time to do this. It will quickly impress the recruiter, bringing your resume to the top of the list.
There may also be unconscious bias by a recruiter or hiring manager. If they’ve seen a data science resume in the past that they used to hire someone, they may be looking for something similar unknowingly.
Bonus Tip:
Include A Resume Objective Or Summary
Writing your resume objective or summary after listing your contact information is an effective way to explain how your skills, experience and qualification makes a suitable candidate for a data scientist position. Often, summaries describe your work experience and skills gained throughout your career. This is an optional section and the summary is usually one to two sentences long. For writing effective resumes, use a resume objective for marketing your passion and skills and use a resume summary if you have vast experience in this field.
Example:Applied mathematics post-graduate with certification in data analysis and data science. Energetic and dedicated fresher with hands-on experience collecting, analysing and interpreting large data sets and developing new forecast models is looking for a position in a fast-moving company.
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Your Data Science Projects And Work Experience
Let’s jump right into the good stuff and talk about the most important part of your resume: your work experience and projects. This is it. This is the grand finale. This is where the person reviewing your resume decides whether or not you’ll get an interview.
When talking about your previous work , your goal is to convince the person reviewing your resume that you’ll provide value to their company. This is not the place to be humble. I want to see that “I’m wearing my favorite outfit” level of confidence.
The template for successfully talking about your experience as a data scientist is:
- Clearly state the goal of the project
- Demonstrate what you did
- You can mention the programming languages you used, the libraries, modeling techniques, data sources, etc.
- State the quantitative results of your project
You’re a data scientist, so highlight your value by demonstrating the quantitative impact of your work. These can be estimates. For example, did you automate a report? Roughly how many hours of manual work did you save each month? Here are some ideas for how you can quantitatively talk about your projects:
Ways to define the impact of your data science work
Numbers draw attention, are convincing, and make your resume much more readable. Which of these two ways to describe reporting is more compelling?
If nothing else, please take this away from this guide: state the results of your projects on your resume in numbers.
Trade-offs between projects and work experience
Here Is The Data Scientist Sample Resume
Arijit Bhattacharya | Data Scientist
9163-XXXX-XX | | linked.in/arijitdatasc | Kolkata, India
Summary:
Mid-level data scientist with over 4 years of experience in the fields of Artificial Intelligence and Analytics. Helped in developing a data model that is used by company X to sustain their new production processes. Contributed to developing BI dashboards and making data accessible for organizational use in company Y.
Key Accomplishments:
- Helped in improving the marketing performance of company Y through customer behavior analytics and predictive modeling for sales.
- Modeled the data architecture and helped prepare training data for production AI in company X. This helped the company achieve a 50% increase in production output.
Technologies and Skills:
- Programming Skills: Python, R, Scala, C, C++, Java, and GIT
- Statistical Analysis Tools and Analytics: SAS, Excel, Tableau, and SPSS
- Data Skills: SQL , NoSQL , Apache Hadoop, Apache Mahout, Apache Spark, Hive, MapReduce, Rapid Miner, QlikView, and HBase
- Business Intelligence: Microsoft Power BI and Microsoft Office Suite
Education:
- BSc in Data Science: University of X, 2018 | Kolkata, India | 3.8 GPA
Studied Data Science with mathematics, statistics, and computing. Additionally, I took courses on Big Data and Data Analytics. Also participated in Data Visualization projects and real-world predictive analytics models.
- Postgraduate Program in Data Science: Z University, 2020 | Online | 4.0 GPA
Work Experience:
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Director Of Data Scienceresume Examples & Samples
- 7+ years of experience as a Data Scientist 3+ years of experience managing Engineering teams that solve complex problems
- Previous experience Performed and Applied Academic-esque research in a company setting
- Programming experience in both academic and business environments
- Mastery of both Frequentist and Bayesian statistics
- Demonstrated experience doing high-level management in a startup environment
- Expertise in: Computational linguistics Pedagogy Machine learning Database systems and, Data visualization
Computer Skills And Certifications In A Data Scientist Resume
As weve mentioned earlier, it is necessary for you as a data scientist to possess various skills and knowledge of different software programs. It is crucial that your resume shows the recruiter that you possess these skills in a confident, plausible way.
Indeed, not only does your resume need to show the recruiter that you know how to predict real estate prices and work with advanced analytics professional SAS programs, but it also needs to provide proof of expertise!
A great way to give credible proof for your knowledge and experience with data science programs, tools, and other skills is by including a certificates section in your resume.
If youre wondering which certificates are worth including in your application, weve got you covered! Heres a list of some of the best certificates to go for:
- SAS Certified Data Scientist
- GCP Microsoft Professional Program Certificate
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Example Of A Data Science Resume With Experience
Here is an example of a data science resume for an experienced data science professional:
Priyanka YadavJ 8/9, Bole Nath Housing ComplexHyderabad 500001priyanka.yadav@mmail.com
Summary
Data scientist with 7+ years of experience in developing complex applications, solving scalability issues and overcoming complex data architectures. Advanced understanding of analytical and algebraic techniques along with knowledge of using various statistical tools.
*Work experience
What Should A Data Scientist Put On A Resume
As a data scientist, youll have a lot of responsibilities in your position, not to mention a requirement for skills and technical knowledge of data software. You might have experience with both data mining and data visualisation, but if the job description specifically asks for data visualization, make sure you include that word in your resume.
Because each data analyst job offers much in the way of experience and responsibilities, try to focus your resume on showcasing the skills, experiences, and accomplishments youve gained through data science experience and education.
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What Are The Different Modes Of Training That Intellipaat Provides
At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.
Create Data Science Job Descriptions That Stand Out
Remember Chandler Bing from Friends?
He was an IT procurements manager specializing in statistical analysis and data reconfigurationin a way, a nineties equivalent of a data scientist.
The problem? His job was so complex and incomprehensible that even his closest friends didnt know what he did exactly for a living.
Theres a lesson to be learned from Chandler. And it applies to your data scientist resume, too.
If youre applying directly via email to the company you want to join, your resume will most likely reach someone familiar with your niche. But
If youre submitting your job application via job boards or online forms, before the hiring manager sees your resume, external recruiters will scan it. Some of them are not tech-savvy enough to understand highly technical descriptions of sophisticated data science projects.
Dont outline every task you handled.
To make it easier for them, in your data scientist resume job descriptions focus on the impact your actions had.
The ResumeLab builder is more than looks. Get specific content to boost your chances of getting the job. Add job descriptions, bullet points, and skills. Easy. Improve your resume in our resume builder now.
Nail it all with a splash of color, choose a clean font, and highlight your skills in just a few clicks. You’re the perfect candidate, and we’ll prove it. Use our resume maker now.
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Head Of Sbg Data Science Engineeringresume Examples & Samples
- Provides guidance and support leadership to Business leaders and stakeholders on how best to harness available data in support of critical business needs and goals
- Leads the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation/visualization, and action planning
- Uses considerable expertise and independent judgment in collaborating with peers, data engineers, database managers, and business analysts in designing and implementing the research strategy needed to methodically and iteratively structure, extract, cleanse, sample, test, validate, and communicate data-driven insights from complex sources and significant volumes of data for complex and unique business problems
- Applies proven methods and hacking skills in working with divergent data types, data scales, and big data , to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources
- Business-oriented researchable questions or “working hypotheses” generated in collaboration with business leaders and stakeholders
- Research plans and specifications for large data sets
- Algorithms that result from the validation of hypotheses, and contribute to useful predictions and insights
- Input into product development or marketing strategies
- Analytical inquiry findings
Vp Data Scienceresume Examples & Samples
- Bachelors degree in quantitative field such as Mathematics, Statistics, Engineering, Economics or related field from a four year college or university. Masters degree or higher preferred
- Extensive experience applying predictive modeling, data mining and statistical analysis to solve business problems
- Experience demonstrating teamwork and critical thinking skills to accomplish tasks
- Strong written and verbal presentation skills and the ability to communicate complex and technical ideas to non-technical people, including the highest level of management
- In-depth knowledge of Excel, SQL, R, SAS, Python and machine learning algorithms
- Strong organizational and follow-up skills
- Skilled in complex problem solving, critical thinking and decision making
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Data Analyst Skills To Include On Your Resume
The Indeed Editorial Team comprises a diverse and talented team of writers, researchers and subject matter experts equipped with Indeed’s data and insights to deliver useful tips to help guide your career journey.
If you’re considering a job in data analysis or you’re a current data analyst and are looking to spruce up your resume, there are several key skills to consider including on your resume to set yourself apart from the competition. A few of these skills include data collection, statistics and various analysis tools like SAP and Sybase. In this article, we explore why data analyst skills are important for your resume and 40 of the top skills to include to catch the attention of hiring managers.
Data Science Leadresume Examples & Samples
- Minimum of 8-10 years of working experience with proven data science project experience in a data driven organisation
- Strong consultancy skills including presenting, facilitating workshops and working with project teams comprising internal, external and multidisciplinary project members and topics an advantage
- Proven data science project execution track record including practical project experience with the application of data science including data extraction, cleaning and mining, model selection & validation, and algorithm & application programming
- Knowledge of Hadoop, MapReduce, Spark, R, Python or comparable software and programming languages
- Affinity with the financial services sector with working knowledge in the sector an advantage
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Should You Start With Education Or Work Experience As A Data Scientist
In case youre wondering how to go about writing your academics section for your resume and where to place it, weve got you covered!
Were here to answer the age-old question, what came first the education or the work experience section?
The layout youll be going with is entirely dependent on the level of experience you hold.
For a senior data scientist resume, we recommend going with the experience section first because a seasoned data science professional will have more work history information to put into the application. The work experience will be the main focus.
For entry level data scientists with little to no experience in the field, its recommended to start with education. This layout will be more effective if the candidate doesnt have a lot of work experience.
Halo Insurance Data Science Senior Associateresume Examples & Samples
- Designing and building analytical procedures
- Performing unit and system testing to validate the output of the analytic procedures against expected results
- Utilization of ETL tools and techniques, such as Informatica, SSIS, Mapforce to map transformation and flow of data from a source to a target system
- Utilizing techniques such as multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queueing theory, algorithmic knowledge to efficiently research and solve complex development problems and application of engineering methods to define, predict and evaluate the results obtained
- Developing solutions through SQL development, data analytics and programming/scripting utilizing Python, Java, C#, C++, Python, .NET, VB, etc
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How To Make Your Data Scientist Work Experience Stand Out
Recruiters need to be confident that you will do a good job for the company.
Listing your work experience is the easiest and best way to do this.
Heres the best way to structure your work experience section:
- Improved the accuracy of predicted prices by 18%.
- Coordinated a team of 16 data scientists working on 4 different projects.
To separate your resume from the other applicants, you should talk about your best achievements, not your daily tasks. Doing so will clearly show how you can benefit the company.
Instead of saying:
Say:
Updated data streaming processes for an 18% reduction in redundancy.
As you can see, the first statement doesnt effectively convey your achievements. It shows that you streamed data, but it doesnt show the results of your work.
The second statement shows that you managed to reduce the redundancy numbers. Hard numbers that prove your skills cant argue with that!
Technical Recruiter Data Scienceresume Examples & Samples
- Design and execute customized, full cycle staffing plans, partnering closely with hiring managers to achieve the best results possible
- Find and engage unique and/or passive candidates through creative sourcing techniques, coordinating with our sourcers as needed
- Facilitate and lead meetings and key initiatives and projects with client groups, and with the recruiting teams, that will continuously improve and scale our recruiting operations and results
- Regularly manage pipeline activity and maintain data integrity, and proactively share data-centric updates with internal stakeholders
- Establish and maintain meaningful relationships with management and key cross-functional stakeholders internally
- Collaborate with others on the recruiting team on initiatives and/ or hiring needs that may spike in other areas
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Work Experience And Education
While mentioning work experience, briefly explain your role and responsibilities in each organization and how long you worked there. Visible gaps between job roles can sometimes leave a bad impression on employers, so always justify the gap, if any. After work experience, mention your educational background and the names of institutions.
Enroll in our Data Science Course, offered by Intellipaat in collaboration with IIT Madras.
Profile And Contact Information
Once youve picked a suitable design template, mention your contact information in the resume. Mention your email address, contact number, and links to your LinkedIn and GitHub profiles. Make sure all your data science-related projects are present on your GitHub account for employers to see. It also leaves a good impression if you write a brief description about yourself, in a few sentences that tell about your skills, interests and highest qualification.
Read our blog Data Science Tutorial for Beginners to start learning today.
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Principal Data Science & Member Insightsresume Examples & Samples
- Develops and maintains relationships with key improvement leaders within Vizient members
- High level of competence in analytic tools, particularly Excel and Vizients Clinical Data Base in order to conduct comprehensive analyses
- High level of knowledge in statistics and the use of data in performance improvement
- Able to turn data into insights through experience and knowledge of healthcare
- Interprets trends, regulatory changes, and/or forecasts, and anticipates impact for members
- Work with member/client to implement identified opportunities and make recommendations to management and members and provide guidance in selecting alternatives for improvement of quality, safety, operations and supply chain
- Designs and creates charts, graphs, tables and reports to support findings and develop recommendations
- Masters in a business or healthcare related field, and a PhD or MD is preferred
- 5 years of work in a hospital preferred, or 10 years in a healthcare related organization
- Strong knowledge in statistical process control and the study of variation
- Documented use of having a role in an improvement in healthcare
- Hospital leadership experience involving physician alignment is helpful
- An in-depth understanding of physician organizational structures, governance, and healthcare trends
- Maintains a solid ability to problem solve and demonstrate clear critical thinking skills
- Exhibits strong presentation skills