How Jobberman partnered with iMocha to upskill 40,000+ candidates in job-relevant soft skills
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Data Science & Analytics Test
Data Science Aptitude Test
Microsoft BI Test
Data Modeling Test
Data Storytelling Skills Test
Data Governance Skills Test
Probability Skills Test
Inferential Statistics Online Test
Data Visualization Skills Test
Data Science Aptitude Test
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Python Coding Test (High)
SAP BI Test (Business Intelligence)
Microsoft BI Test
Big Data Assessment Test
Spark Test
Data Science & Analytics Test
Data Modeling Test
Data Mining Test
Apache Cassandra Test
Six Sigma Test
Erwin Data Modeler Test
PySpark Coding Test
Apache Beam Python Test
#1 Identifying job-fit candidates based on job roles
You can build customized data science skill assessments for any given job role. Using this capability, you can choose questions from different skill types, including functional, technical, and soft skills. For example, with our customized data scientist coding assessment, you can assess candidates' understanding of Data Extraction and Mining, Numerical Ability, Interactive Reporting, Python Coding, and Machine Learning and hire the best individuals for the job.
#2 Skill-gap analysis of your employees
iMocha allows you to trace employees' skill competency through data science training assessments. It determines the current skill level and identifies the areas for growth. Using this feature, you can measure employees' progress from their existing knowledge base to gained knowledge. For example, you can use our data science training assessments to identify an engineer's knowledge about Sampling Distribution, SQLite Coding, Quantitative Aptitude, and other skills and perform a skill gap analysis.
We provide various types of data scientist hiring tests to help you evaluate candidates' specific skills. These questions are created by Subject Matter Experts (SMEs) based on their knowledge and expertise. For example, only Data Science specialists will develop questions about Data Manipulation using R or Machine Learning based on easy, medium, and hard difficulty levels.
You can - choose which questions to include in the Data Scientist coding test or ask us to create personalized assessments according to your requirements.
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Implementing iMocha has been a game-changer for our talent acquisition process. The platform’s extensive range of assessments has allowed us to evaluate candidates' skills with precision and efficiency, significantly improving our hiring quality.
The user-friendly interface, coupled with insightful analytics, has streamlined our decision-making process. iMocha not only saved us time but also ensured we onboard the best talent. It’s an invaluable tool for any organization looking to elevate their hiring strategy.
The support from iMocha’s team assigned to UNICEF has been exceptional, providing us with extraordinary customer service experience. We are proud to partner with iMocha and look forward to continuing our journey towards a skills-first approach in talent management.
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Enrique Santander
HR Manager, Division of Human Resources
UNICEF
HexaVarsity has one goal, to nurture a learning culture and help people grow and succeed. We were studying industry trends and it was clear that Learning and Development was going to be the game changer. It was then that we decided to have iMocha's consultant centric plan, which would be designed to provide the best learning environment to our employees.
With iMocha, we found the perfect assessment partner that brought a full circle to our initiative.
After the course completion, the assessment provided an apt picture of our employees' strengths, areas of improvement, and laid the path for further individual development planning.
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Tanuja Pereira
Head - Learning and Development (Laterals)
Hexaware
Hiring Data Scientists was a challenge as the interview process took time. With iMocha's data science assessments, the process was simplified.
The tool helped us shortlist top candidates and extend offer letter in just 4 days.
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Lynn Hodak
Talent Acquisition Manager, Capgemini
iMocha has really helped us in preparing our pre-sales team to sell our embedded security solutions more effectively to customers. We were looking for a partner who could help us to build a tailor-made, flexible solution that could support our needs, and help us to scale globally.
The partnership between Ericsson and iMocha has been excellent. They created solutions for our specific needs and the process has been very collaborative.
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Sabine van Zanten
Learning & Development Consultant
Ericsson
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Our SMEs can create individualized assessments depending on your job role requirements. These assessments are divided into primary and secondary skills, such as Data Extraction, Data Visualization, Regression Analysis, Quantitative Aptitude, Optimizing Functions, Reporting, and more. Additionally, SMEs can craft customized questions according to applicants' experience and difficulty level.
Ready to Hire a Data Scientist? Check out our pro tips!
Some popular Certifications for Data science related job roles are as follows:
• Microsoft Certified: Azure Data Scientist Associate
• IBM Data Science Professional Certificate
• Google Professional Data Engineer Certification
• Cloudera Certified Professional (CCP) Data Engineer
• SAS Certified AI & Machine Learning Professional
• TensorFlow Developer Certificate
• Open Certified Data Scientist (Open CDS)
• Principal Data Scientist (PDS)
• Certified Analytics Professional (CAP)
• HarvardX Data Science Professional Certificate
Some of the common data science interview questions asked for this role are:
• Why is normal distribution important?
• Can you use machine learning for time series analysis?
• What is a lambda function in Python?
• What is a hyperplane in SVM?
• How is memory managed in Python?
Want more data science interview questions? Here is a list of 100+ data science interview questions you can ask data science professionals.
Data science engineers are required to perform the following tasks and responsibilities:
• Should be able to collect data and identify its data source
• Analyze both structured and unstructured data
• Create workflows to solve the business problems
• Collaborate with the team to develop data strategies
• Know how to combine various algorithms
• Should have the ability to utilize data visualization techniques and tools
• Present AI/ML solutions for business processes and outcomes
• Monitor data pipelines and conduct knowledge-sharing sessions for effective data use
• Conduct data mining and extraction for valuable data sources
• Analyze enterprise databases to simplify and improve product development
• Develop the organization’s test model quality and A/B testing framework
Elevate your hiring game with our winning data scientist job description template!
You can consider these technical as well as non-technical skills while hiring Data science engineers:
Technical Skills:
Non-Technical Skills:
Explore both primary and secondary Data Scientist skills to enhance your talent identification process.
In the United States, the average Data science engineer salary is $124,244 per year. Entry-level Data science engineers' salaries start at $97,462 per year.
