DATA SCIENTIST

Career Tracks

• A data scientist is an analytical expert who is responsible for gathering, analysing, and inferring large data sets through the technical skills and curiosity to explore solutions.

• Data Scientist is the person who is capable of performing multiple roles such as data analyst, software engineer, data miner, business communicator, trouble-shooter, key stakeholder, and manager.

Who is a Data Scientist?

The roles and responsibilities of a data scientist mainly depend on the type of client they are working for and their main skill set. Below is the detailed description of the responsibilities of a data scientist that most of the companies are looking for:

• Collecting data in large quantity and analysing it

• Working with stakeholders for recognizing opportunities throughout the organization to explore business solutions

• Data mining with the utilization of methods of state of the art

• Advancing the procedure of data collection to include the facts which are relevant for developing analytic systems

• Assessing the efficacy and accuracy of data gathering techniques and new data sources

• Performing ad-hoc analysis and offering outcomes in a nicer way

• Utilizing Predictive modelling to enhance and improve the experiences of customers, profits generation, and other business results

• Identifying different trends, relationships, and patterns within data

• Arranging data preparation and text analytics• Interacting the outcomes to IT leaders and

business• Coordinating with various functional teams to

implement models and observe results

What does a Data Scientist do?

Let’s have a look at the job description of these

data scientist’s role:

MicrosoftRedmond, WA, USA

Al for Humanitarian, AI for Earth, AI for Accessibility and Digital Crimes. These are some of the programs at Microsoft where you can apply your world-class expertise to have a huge impact on global and local challenges. Come to work every day and contribute to projects that help save lives, alleviate suffering and restore human dignity. Use the power of technology and AI to promote human right, increase accessibility for those with disabilities and seek solutions to climate change

SOL Server, Relational Database, Data Analysis Skills, DB@, Microsoft SQL Server, Business Analysis

Skill Set:

Data Scientist, Microbiology, Research, Development, Perform sensitive data and application data flow and co ordinate with development and testing teams on the final sensitive data inventory and applicable solutions develop detailed implementation roadmap for data privacy solutions across the applications in scope must quickly understand the data privacy risk issues and data challenges of the Organization in order to review requirements specifications business process and recommend solutions responsible for collaborating with the project team members to produce weekly status report and weekly project logo consisting of issues risks and action items and progress against planned activities for a given week Co ordinate daily planning status check in meeting with the Capgemini resources where project activities issues risks and challenges will be reviewed Experience required 8 years of experience in managing large scale IT and system implementation % years of Data Analysis and Business Analysis experience Understand Database Models designs including referential integrity application enforced integrity data dependencies between applications Ability to understand Entity Relationship diagrams for relational databases experience

Capgemini,Andhra Pradesh India

Desired Experience

Responsibilities:• Will involve teamwork as well as work in which individual

contribution will be need.• Clear, articulate and confident written and verbal

communication skills.• Working experience in Advanced Analytics Techniques Predictive

modelling Time series forecasting Machine learning etc.• The role will require a sound understanding of business

functions, statistical concepts and algorithmdesign /implementation skills.

• Core responsibilities include leveraging data science to solvebusiness cases, training other team members andcontributing to pre-sales through quick execution of POCs.

Role:• Research and develop machine learning models and

algorithms to solve real-world business challenges.• Build and maintain data pipelines and/or analytical

or reporting systems • Develop scalable and efficient algorithms and

models that can be deployed and consumed in real-time with massive data volumes

• Solve complex data science challenges and problems working with sparse/noisy data, unbalanced datasets etc.

• Work collaboratively with software developers, product managers, quality assurance teams to deliver new products and features

TCG Digital India

Siemens AGThane Maharashtra

Roles and Responsibilities

Data Scientists

Healthcare

Retail

Information Technology

Construction

Transportation

Banking

Who posts Data Scientists Jobs?(Who hires a Data Scientist?)

• Healthcare:The primary objective is to be able to accumulate, construct and process the high volume data and further analyse it. This helps in gaining a detailed understanding of the human body. This is the main goal for introducing data scientists in healthcare sector all over the world. The data scientists also have the strongest calibre to transform healthcare as per our industry expertise.

• Retail:Retail data is increasing exponentially with every passing year. Smart retailers are aware that every single interaction holds the potential for profit. A Data Scientist can help the retailers to turn insights from big data into profitable margins using insight-driven plans, investing in existing employees and big data talent. Data Scientist can burrow into the mountain of big data and help retailers to reduce the costs and increase sales.

• Construction:Data Science can help to drive a positive safety culture in the project. You can tag and detect common safety risks like missing hard hats or the gloves of people. There are numerous fatalities/injuries that take place at a construction site. Data Science solutions can make a huge difference by predicting and mitigating risks to avoid these incidences. Therefore, data scientists are now becoming a major part of the industry to easily and quickly complete these tasks in a more organized way.

Who posts Data Scientists Jobs?(Who hires a Data Scientist?)

• Banking:Data Scientists are required in banking firms to advance their consulting methods based on the previous choices of the customers. Data Scientists also assist in fighting against bank frauds by using predictive models and analysis.

• Transportation:In today’s world, the need for reaching destinations on time is increasing, and data scientists help public transportation providers enhance the probability of fruitful journeys. Data scientists can tell the number of people boarding on a given bus or lessen the distances travellers must walk to board buses. Data scientists are helpful in assisting people in the rail industry, also. They can provide you with details about trains’ braking mechanisms, distance and more.

• Information Technology:Information Technology (IT) firms need data scientists to analyse their business and its future scope. Data scientists help the IT domains to understand their loopholes and work on overcoming the day-to-day challenges faced by them. The growing competition, technological advances, and an ever-reducing world is paving exciting roads ahead for Data Science.

Who posts Data Scientists Jobs?(Who hires a Data Scientist?)

There are certain skills that are very important to a Data Scientist role. These skills help them to stand out among others.

• You must know how to work on Analytics tools• Statistical and Programming Skills• Python or R or SQL are a few programming skills which are a must to have for a

Data Scientist’s role• Should have Domain Knowledge• You must be able to visualize data with the aid of data visualization tools• Knowledge of machine learning and artificial intelligence • Proficiency in SAS and Tableau are also significant• Problem Solving Skills• You must have the ability to understand and manipulate unstructured data • Data wrangling is another important skill that is a must for data scientists• Ability to solve Real-World Problems

The skills are listed below:

What are the important Data Scientist skills?

Preferred Qualification:• Leading the design and delivery of the AI and automation

solutions and advisory engagements.• Acting as data scientist on various consulting and solution

developing projects, managing the full lifecycle of model builds• Discovering and communicating meaningful patterns from

large data sets • 2+ years of experience in statistical analysis, data mining ,

machine learning algorithms and their application in various industries

• Strong communication skills.• Strong analytical and quantitative problem-solving ability• Ideally some expertise in R or MATLAB or equivalent.• Experience in Python, Pandas, numpy, scikit-Learn,

Tensorflow or other machine learning platform.• Experience incloud platforms such as GCP ML, AWS, Azure

ML.• Experience in Ruby or Java programming.• Familiar with one of the following database: SQL server,

Oracle, Netezza, Teradata, MySQL.

Qualifications:• Experience in biotechnology, biopharma, medical devices or

any other health related industry.• 5+ years of experience leading analytics leading or AI projects

teams and building analytical platforms in a large organization with multiple functional constructs.

• 3+ years of experience working as a data scientist / ML engineer.• 2+ years of experience working with semi-structured and

unstructured data.• 1+ years of experience working in a cloud based analytics

ecosystems.• Demonstrated proficiency with SQL, Python, Scala or Java as

well as formula statistical tools R, SAS, etc.• Demonstrated experience creating effective visualizations

based on large datasets.• Expertise with general-purpose statistics/machine learning

algorithms and at least one of the following sub-discipline: Natural Language Processing, Deep Learning, Network Analysis

• Excellent written and verbal communication skills.• Advanced degree in Computer Science, Operations Research,

Data Science, Applied Mathematics or related field.

Let’s have a look at some cases describing

the skillset of Data Scientists:

Minimum Qualification:• 5+ years experience I advanced analytics, statistical

modeling, machine learning, data mining, natural language processing or web mining.

• Ph.D. in Computer science, Mathematics ,Statistics physics or other related fields .

Preferred Qualification:• Experience one or more of the following : R, MATLAB,

SAS, Python.• Experience with data manipulation and analysis with

SQL, MapReduce, HIVE, PIG, Spark or other equivalent.

Qualification/Requirements:• Bachelor’s Degree in Computer science, Mathematics, or

Engineering or closely related fields.• Minimum of 2-3 years of experience in data, analytics or

related industry.• Practical understanding of he data modeling concepts.• Experience in one or more analytics software tools and

packages e.g. MATLAB, R, Python etc.• Experience with SQL and one RDBMS product (Oracle,

teradata etc.)• Experience in software development and the software

development lifecycle.

Let’s have a look at some cases describing

the skillset of Data Scientists:

Since Data Science field is evolving very fast you need to learn more to keep up with the pace.The qualities required to be a Data Scientist are not just the technical skills like those which are explained above but even the non-technical skills. Then on tech skills hold equal importance and complement the tech skills. These qualities are those soft skills that you actually require to improve your ability to analyse and solve problems.

• Critical Thinking:A data scientist must be able to analyse every problem in detail and understand relevant points that require undivided attention.

• Math and Understanding of Analytical Functions:For expertise in Data Science, it is important to have a better understanding of Math so that data scientists can develop complex models of finances or operations utilizing statistics. Also, Data scientists must have a better understanding of analytical functions so that they can solve all critical problems easily.

• Communication:Both written and verbal Communication skills must be excellent for data scientist’s role as you have to communicate with various stakeholders.

What other qualities are needed to be a Data

Scientist?

• Business Awareness:You must understand how the problem you solve can impact the business. You must understand how businesses operate and which business problem is critical so that you can direct your efforts in the right direction.

• Intellectual Curiosity:As a data scientist, it is important to have a curious nature as you need to discover more and more about your data to acquire more knowledge about it.

What other qualities are needed to be a Data

Scientist?

• Data scientists are highly educated, 88% of the individuals working as data scientists hold Master’s degree and about 46% of individuals have done their Ph.D.

• However, you can learn data science after earning a bachelor’s

degree as well.

What is the educational qualification for a

Data Scientist?

• The average salary range of data scientists is $128,000• And this range increases if the role is for manager level to about $185,000.

How much can you make as a data scientist?