- Skill, Bachelor’s or Master’s (preferred) degree in a quantitative research field, such as computer science, data science, statistics, mathematics, biological/physical sciences, etc.2-4 years code development/research experience in a business settingStrong proficiency with Python, Spark, SQL, Unix, git, and AWS (S3 and EC2)Excellent verbal and written communication skillsExcellent software engineering fundamentalsExcellent debugging skillsExcellent machineSkill, Bachelor’s or Master’s (preferred) degree in a quantitative research field, such as computer science, data science, statistics, mathematics, biological/physical sciences, etc.2-4 years code development/research experience in a business settingStrong proficiency with Python, Spark, SQL, Unix, git, and AWS (S3 and EC2)Excellent verbal and written communication skillsExcellent software engineering fundamentalsExcellent debugging skillsExcellent machine
- Exp: 3-9 YrsSkills: Data Scientist, Machine Learning, Python, PysparkLocation: BangaloreExp: 3-9 YrsSkills: Data Scientist, Machine Learning, Python, PysparkLocation: Bangalore
- Exp: 8-12 YrsSkills: Data Scientist, Machine Learning, Python, Pyspark, ManagerLocation: BangaloreExp: 8-12 YrsSkills: Data Scientist, Machine Learning, Python, Pyspark, ManagerLocation: Bangalore
- 7+ years of advanced hands-on data science & analytics experience using Python and R; good exposure to SQL (joints, sort procedures’) - Knowledge and experience applying common data science methods, including linear models, tree-based models, SVMs, ensemble methods (e.g., random forest), and unsupervised/clustering methods - Experience working with tools like Spark and Data bricks - Experience in Data analysis using Machine Learning techn7+ years of advanced hands-on data science & analytics experience using Python and R; good exposure to SQL (joints, sort procedures’) - Knowledge and experience applying common data science methods, including linear models, tree-based models, SVMs, ensemble methods (e.g., random forest), and unsupervised/clustering methods - Experience working with tools like Spark and Data bricks - Experience in Data analysis using Machine Learning techn
- Develop and deliver the most appropriate analytics techniques to address clinical questions and problems (text mininganalysis, data visualization, data mining, statistical modeling, machine learning) in response to NNI stakeholder requeststhat are funneled through RWE Leads.Keeps updated with newer analytic techniques and platforms, and their adaption into the real world setting; implementthese techniques / platforms and describe the rationale for their imDevelop and deliver the most appropriate analytics techniques to address clinical questions and problems (text mininganalysis, data visualization, data mining, statistical modeling, machine learning) in response to NNI stakeholder requeststhat are funneled through RWE Leads.Keeps updated with newer analytic techniques and platforms, and their adaption into the real world setting; implementthese techniques / platforms and describe the rationale for their im
- python, sql, sparkpython, sql, spark
- python, sql, aws, data sciencepython, sql, aws, data science
- You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.How you will contributeYou will:• Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. InYou will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.How you will contributeYou will:• Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. In
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data scientist jobs overview
On this page, you will find a list of our current data scientist jobs and an overview of the typical responsibilities and expectations of a data scientist. You can compare and filter relevant data scientist positions based on specialism, location and salary to find your ideal job match.
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data scientist jobs contract types
Data scientist jobs are available in various contract types, including:
- data scientist jobs – permanent: in a permanent position, you work as a data scientist indefinitely until retirement or resignation. This role guarantees you a steady income and job security.
- data scientist jobs – contract: in a contract position, you work for a few months as stipulated in the employment agreement. This allows you to determine if you enjoy working as a data scientist.
- data scientist jobs – temporary: in a temporary position, you are not tied to the same company long-term. You can gain valuable experience and build your skills in data science.
- data scientist jobs – full-time: in a full-time position, you work the standard business hours. This gives you a regular routine.
- data scientist jobs – part-time: in a part-time position, you work reduced hours. You will enjoy added flexibility.
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about data scientist jobs
Data scientist jobs revolve around collecting huge amounts of data and transforming it into useful information. Your duties include identifying relevant data sources, building predictive models, and analysing trends and patterns from the data. You also prepare and present reports to the company's management.
Would you like to know more about this job? Then check out the data scientist job profile page.
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how much does a data scientist make in India?
You will find more information on the data scientist salary on the data scientist job profile page. You can also find the salary for each specific job shown here if you click on the description.
how to apply for data scientist jobs
If you are ready to apply for a data scientist job, take a look at our jobs list, filter to your preference and apply directly. If you require any further assistance applying for a role, feel free to contact your nearest Randstad office and a member of the team will be happy to point you in the right direction.
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how do I apply for a job as a data scientist?
If you are interested in becoming a data scientist, a university degree or an apprenticeship is a great place to begin. For information on the qualifications and relevant education needed for the role, see the 'education and qualifications' section of our data scientist job profile.
To work as a data scientist, pursue a bachelor’s degree in data science, computer studies or economics. A master’s in data science can help you expand your skills and land better-paying roles. You should also improve your skills and gain experience through entry-level jobs.
In the data scientist job overview, you can submit your application using the "Apply now" button. Your details will be filled in automatically as soon as you’re logged in with your Randstad account. Don’t have an account? No problem – just fill in your details manually.
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does randstad have any tips on how to search for data scientist jobs?
If you can’t find the perfect role for you listed on this page, you’re able to keep up-to-date by using our notification option to alert you when suitable roles become available. Simply enter your details, and as soon as a new data scientist job is available that meets your criteria, you will be informed instantly.