10 answers
reyhan
Student
Singapore
1
Question
10 answers
Nethra Murali
WA
4
Answers
Seattle, Washington
Updated
Nethra’s Answer
Hi Ryan,
A Data Scientist is a professional who extensively works with Big Data in order to derive valuable business insights from it. Over the course of a day, the Data Scientist has to assume many roles: a mathematician, an analyst, a computer scientist, and a trend spotter.
Nowadays, a data scientist is almost a hybrid role who wears multiple hats in a day! S/he is a Software Engineer, Data Analyst, Troubleshooter, Data Miner, Business Communicator, Manager, and a key Stakeholder in any data-driven enterprise and helps in decision-making at the highest levels.
You would typically be a great problem solver, think critically, and know a variety of programming languages to help solve business needs by building and analyzing data.
Here are some great articles in the next steps to check out!
Forbes: https://www.forbes.com/sites/bernardmarr/2016/01/07/big-data-uncovered-what-does-a-data-scientist-really-do/741701e8a5bb
HBR: https://hbr.org/2018/08/what-data-scientists-really-do-according-to-35-data-scientists
Lastly, I would also suggest you to look at sample entry level Data Scientist Jobs to see what different companies are looking for.
A Data Scientist is a professional who extensively works with Big Data in order to derive valuable business insights from it. Over the course of a day, the Data Scientist has to assume many roles: a mathematician, an analyst, a computer scientist, and a trend spotter.
Nowadays, a data scientist is almost a hybrid role who wears multiple hats in a day! S/he is a Software Engineer, Data Analyst, Troubleshooter, Data Miner, Business Communicator, Manager, and a key Stakeholder in any data-driven enterprise and helps in decision-making at the highest levels.
You would typically be a great problem solver, think critically, and know a variety of programming languages to help solve business needs by building and analyzing data.
Here are some great articles in the next steps to check out!
Nethra recommends the following next steps:
Mehnaz Tabassum
BA
1
Answer
Frisco, Texas
Updated
Mehnaz’s Answer
Hello Reyhan,
Data scientists work closely with business stakeholders to understand the goals and determine how data can be used to achieve those goals. They design data modeling processes, create algorithms and predictive models to extract the data the business needs, then help analyze the data and share insights with peers.
Data scientists play a key role in helping organizations make sound decisions.
Data scientists work closely with business stakeholders to understand the goals and determine how data can be used to achieve those goals. They design data modeling processes, create algorithms and predictive models to extract the data the business needs, then help analyze the data and share insights with peers.
Data scientists play a key role in helping organizations make sound decisions.
Riley Carr
Business Analyst
179
Answers
Hollywood, Florida
Updated
Riley’s Answer
A data scientist is someone who knows how to interpret data and use it to draw inferences. This would require you to be comfortable using statistics, as well as understanding the general idea of the information that you are studying. A data scientist can really go into any field because that can use this skill for anything people want to study. However, the three general fields of education that you should be decently well versed in would be math, computer science, and business. If this can be achieved, it is a great career choice considering the average starting salary is $80,000/year.
Surendra Reddy Tangella
Software Engineer
6
Answers
Bengaluru, Karnataka, India
Updated
Surendra Reddy’s Answer
A Data Scientist is a person who assumes multiple roles over the course of a day. He/she is a Software Engineer, Data Analyst, Troubleshooter, Data Miner, Business Communicator, Manager, and a key Stakeholder in any data-driven enterprise and helps in decision-making at the highest levels.
Some of the tasks of a Data Scientist are:
-Collecting large amounts of data and analyzing it
-Using data-driven techniques for solving business problems
-Communicating the results to business and IT leaders
-Spotting trends, patterns, and relationships within data
-Converting data into compelling visualizations
-Working with Artificial Intelligence and Machine Learning techniques
-Deploying text analytics and data preparation
-Some of the technologies and skills that a Data Scientist works with:
Below are some of the skills set that are required.
-Programming skills in Java, Python, R, and SQL
-Reporting and data visualization techniques
-Big Data Hadoop and its various tools
-Data mining for knowledge discovery and exploration
-Communication and interpersonal skills
Some of the tasks of a Data Scientist are:
-Collecting large amounts of data and analyzing it
-Using data-driven techniques for solving business problems
-Communicating the results to business and IT leaders
-Spotting trends, patterns, and relationships within data
-Converting data into compelling visualizations
-Working with Artificial Intelligence and Machine Learning techniques
-Deploying text analytics and data preparation
-Some of the technologies and skills that a Data Scientist works with:
Below are some of the skills set that are required.
-Programming skills in Java, Python, R, and SQL
-Reporting and data visualization techniques
-Big Data Hadoop and its various tools
-Data mining for knowledge discovery and exploration
-Communication and interpersonal skills
Isabela Klaus
Product Designer
2
Answers
San Francisco, California
Updated
Isabela’s Answer
Data science is one of the most popular jobs of today, yet, the characteristics of the job remain uncertain. The lack of formal training available in university programs has led to both ambiguity on how to become a good data scientist, and an idolatry of those that are able to do it.
Traditionally speaking, data science focuses on statistical analysis techniques, machine learning models, and neural networks. Data scientists are usually folks with a computer programing/engineering background. These people deepen their coding into analyzing big data to inform big company decisions. Data scientists gather, clean and prepare the data so that they can analyze it and extract meaningful conclusions to businesses.
Traditionally speaking, data science focuses on statistical analysis techniques, machine learning models, and neural networks. Data scientists are usually folks with a computer programing/engineering background. These people deepen their coding into analyzing big data to inform big company decisions. Data scientists gather, clean and prepare the data so that they can analyze it and extract meaningful conclusions to businesses.
Rohit Khubnani
Network Consultant
22
Answers
Bhopal, Madhya Pradesh, India
Updated
Rohit’s Answer
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals. They design data modeling processes, create algorithms and predictive models to extract the data the business needs, then help analyze the data and share insights with peers.
Darshan KN
Engineer
3
Answers
Bengaluru, Karnataka, India
Updated
Darshan’s Answer
Data scientists utilize their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. They then use this information to develop data-driven solutions to difficult business challenges. Data scientists commonly have a bachelor's degree in statistics, math, computer science, or economics. Data scientists have a wide range of technical competencies including: statistics and machine learning, coding languages, databases, machine learning, and reporting technologies.
Some of the useful links for more information:
https://www.glassdoor.com/Job-Descriptions/Data-Scientist.html
https://resources.workable.com/data-scientist-job-description
https://www.northeastern.edu/graduate/blog/what-does-a-data-scientist-do/
https://intellipaat.com/blog/data-scientist-roles-and-responsibilities/
Some of the useful links for more information:
https://www.glassdoor.com/Job-Descriptions/Data-Scientist.html
https://resources.workable.com/data-scientist-job-description
https://www.northeastern.edu/graduate/blog/what-does-a-data-scientist-do/
https://intellipaat.com/blog/data-scientist-roles-and-responsibilities/
Gabriel Ang
Software Engineer
3
Answers
Singapore
Updated
Gabriel’s Answer
Hi Reyhan,
I did like to give some advise on what data scientist do.
1. They basically read large sets of data from the many sources, and make sense of it
2. They then perform EDA (Explore Data Analysis) to analysis it.
3. Depending on what the client wants
- the data scientist might do some prediction on the dataset to basically look into the future of what will be happening.
- the motive might be coming up with a recommendation engine
- or something more complex like working with DNA
Overall, i think data scientist is an awesome choice to make if you like playing with data
Try your hands out on www.kaaggle.com and you will know whether that's where you want to go to
Hope that helps !
Cheers
I did like to give some advise on what data scientist do.
1. They basically read large sets of data from the many sources, and make sense of it
2. They then perform EDA (Explore Data Analysis) to analysis it.
3. Depending on what the client wants
- the data scientist might do some prediction on the dataset to basically look into the future of what will be happening.
- the motive might be coming up with a recommendation engine
- or something more complex like working with DNA
Overall, i think data scientist is an awesome choice to make if you like playing with data
Try your hands out on www.kaaggle.com and you will know whether that's where you want to go to
Hope that helps !
Cheers
Vinita Gera
Employed
1
Answer
Pune, Maharashtra, India
Updated
Vinita’s Answer
A data scientist is a data expert who has the analytical and technical skills to solve complex problems . Given the data burst in the world due to digitization - this role is more important than ever.
In their job a data scientist applies maths, statistics, computer science and analytical skills.
The data generated by apps is huge. Making decisions based on the data is important.
If you look at the current COVID situation - there is huge amount of data world wide. The trend analysis, projection, learning from data from other countries - using all this data with statistical approach and using technology is what a data scientist would do in this case. Like this one can apply a data scientist's role to multiple apps, domains where large amount of data is generated and where it is useful to process it.
Data scientists often exist in business roles/units and are responsible for making complex data-driven organizational decisions. As a result, it is also important for them to be effective communicators, leaders, and team members as well as high-level analytical thinkers.
Data scientists are highly sought after in today’s data currency led world. They are well paid as there aren't many good data scientists in the world. So if mathematics, statistics, computer science and analytics interests you - go for it!
In their job a data scientist applies maths, statistics, computer science and analytical skills.
The data generated by apps is huge. Making decisions based on the data is important.
If you look at the current COVID situation - there is huge amount of data world wide. The trend analysis, projection, learning from data from other countries - using all this data with statistical approach and using technology is what a data scientist would do in this case. Like this one can apply a data scientist's role to multiple apps, domains where large amount of data is generated and where it is useful to process it.
Data scientists often exist in business roles/units and are responsible for making complex data-driven organizational decisions. As a result, it is also important for them to be effective communicators, leaders, and team members as well as high-level analytical thinkers.
Data scientists are highly sought after in today’s data currency led world. They are well paid as there aren't many good data scientists in the world. So if mathematics, statistics, computer science and analytics interests you - go for it!
Jesus Serratos
Recruiter
3
Answers
Sacramento, California
Updated
Jesus’s Answer
Reyhan, Data Scientist are engineers that can tell a story or solve a problem with data. They write code, the create complex algorithms and they do statistical analysis. I am a technical recruiter that specifically works to hire Data Scientist and Machine Learning Engineers. Both of these titles have a lot of crossover in many companies. Here is what we look for in each
DS
Responsibilities
Apply full toolkit - statistical modeling, machine learning, data mining, data visualization, and data analysis - to develop data products and models that are used by millions of users and power the growth of our business
Formulate a model from a real business problem, determine evaluation metrics, evaluate different modeling approaches, conduct data analysis, and build features and algorithms for the various challenging problems at Postmates
Collaborate with a strong team of engineers, product managers and data analysts in defining the frontier of data products and models in the three-sided marketplace
Analyze experimental and observational data, communicate findings, and facilitate launch decisions
Participate in code reviews to ensure code quality and distribute knowledge
MLE
Requirements
B.S., M.S. or Ph.D. in Computer Science or related technical field
Solid engineering and coding skills. Ability to write high-performance production quality code. Experience in Java, C++, Go, Python, Scala and other equivalent languages is a plus. Industry experience building and productionizing innovative end-to-end Machine Learning systems is a plus.
Good understanding of common families of machine learning models, feature engineering, feature selection and other practical machine learning issues, such as overfitting.
Experience with MapReduce, Spark, Hive, HBase, Airflow, Google BigQuery, BigTable, Dataflow is a plus. Experience ML frameworks like Tensorflow, PyTorch, Spark MLlib, XGBoost, and Scikit-Learn is a plus.
Strong communication skills. Explaining complex technical concepts to product managers, data analysts, and other engineers shouldn’t be a problem for you.
DS
Responsibilities
Apply full toolkit - statistical modeling, machine learning, data mining, data visualization, and data analysis - to develop data products and models that are used by millions of users and power the growth of our business
Formulate a model from a real business problem, determine evaluation metrics, evaluate different modeling approaches, conduct data analysis, and build features and algorithms for the various challenging problems at Postmates
Collaborate with a strong team of engineers, product managers and data analysts in defining the frontier of data products and models in the three-sided marketplace
Analyze experimental and observational data, communicate findings, and facilitate launch decisions
Participate in code reviews to ensure code quality and distribute knowledge
MLE
Requirements
B.S., M.S. or Ph.D. in Computer Science or related technical field
Solid engineering and coding skills. Ability to write high-performance production quality code. Experience in Java, C++, Go, Python, Scala and other equivalent languages is a plus. Industry experience building and productionizing innovative end-to-end Machine Learning systems is a plus.
Good understanding of common families of machine learning models, feature engineering, feature selection and other practical machine learning issues, such as overfitting.
Experience with MapReduce, Spark, Hive, HBase, Airflow, Google BigQuery, BigTable, Dataflow is a plus. Experience ML frameworks like Tensorflow, PyTorch, Spark MLlib, XGBoost, and Scikit-Learn is a plus.
Strong communication skills. Explaining complex technical concepts to product managers, data analysts, and other engineers shouldn’t be a problem for you.