Data Science Job Description

Data Science Job Description

182 votes for Data Science
Data science provides artificial Intelligence/Machine Learning domain expertise using Deep Learning Frameworks, Analysts Notebooks, and Spark/Python/R Libraries.

Data Science Duties & Responsibilities

To write an effective data science job description, begin by listing detailed duties, responsibilities and expectations. We have included data science job description templates that you can modify and use.

Sample responsibilities for this position include:

Leads development of analytical models using statistical, machine learning and data mining models
Understand and follow conventions and best practices for analysis, statistics, modeling, coding, and architecture
Lead and grow our data science team
Play the role as the primary owner of the data science solutions to support company’s credit risk management initiatives strategic data needs in other areas
Defines requirements for exploratory and ad hoc data analysis
Execute models & data science exploration aligned to product strategy
Knowledge sharing and education across region Data Science team and across disciplines in the region across the national Data Science team
Practice radical candor, giving direct and actionable feedback to the people you manage, to the people you don’t
Develop and manage talent by identifying the skills and performance criteria necessary for success and working with their Senior Director to manage key projects and direct other team members to meet and exceed these standards provide career-building opportunities for team
Conduct unstructured text analytics

Data Science Qualifications

Qualifications for a job description may include education, certification, and experience.

Licensing or Certifications for Data Science

List any licenses or certifications required by the position: AWS, HIPPA, CFA, SAS, CQA, CQE, ASQ, MS, PMP, AI

Education for Data Science

Typically a job would require a certain level of education.

Employers hiring for the data science job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Statistics, Mathematics, Engineering, Science, Economics, Physics, Graduate, Machine Learning, Business

Skills for Data Science

Desired skills for data science include:

Machine learning
Data mining

Desired experience for data science includes:

Master's Degree in statistics, math, engineering, computer science, or another quantitative discipline or 7 years of equivalent experience required
Understands basics of dashboards, reporting, data integration and business intelligence systems
Experience with Python, SQL, (advanced programming languages)
Experience with machine learning in a distributed setting with Hadoop or Spark is a plus
They have a great ability to analyze and solve problems
They have strong decision-making and out-of-the-box thinking

Data Science Examples


Data Science Job Description

Job Description Example
Our innovative and growing company is hiring for a data science. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for data science
  • Produce data science presentations/ demonstrations in collaboration with Metis faculty and partners to attract aspiring data scientists
  • Create​ and optimize strategy and plans for community outreach and marketing effort across all Metis geographic locations
  • Attend and participate in data science and related events to grow Metis brand awareness
  • Identify thought leaders and influentials in data science and establish relationships
  • Help develop a map of the data science ecosystem finding opportunities for Metis to contribute
  • Create excitement about Metis with event marketing, blog posts, discussions, conference attendance, press events, meetups
  • Identify strategic partners to align with Metis and partner for events or other collaborations
  • Identify and share knowledge of the competitive landscape of data science educators
  • Establish metrics to measure the impact of Metis’ outreach and event efforts associated with student growth
  • Work with technology-related conferences to identify contribution opportunities for the Metis Sr
Qualifications for data science
  • They love challenge, dare, and take initiatives
  • They are passionate, dynamic, and able to work in a fast-paced environment
  • They target scientific excellence& develop creative ideas
  • They are team-players
  • Scripting languages, R, Python
  • At least 6-month experience in areas relevant to the knowledge engineering life cycle such as

Data Science Job Description

Job Description Example
Our company is looking for a data science. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data science
  • Help develop and share the Metis story to differentiate from the competition
  • Partner with various business functions( operations, finance, credit, ) to formulate and define challenges, solve problems, and identify opportunities
  • Reviews with Operations, the quality of data collection and sample requirements opportunities for quality improvement
  • Lead geographically-diverse team of data scientists and engineers, establishing a non-hierarchical organization where all are encouraged to speak and the best idea wins
  • Sit on the analytics leadership team and have primary responsibility to evangelize data science approaches to solving problems across the organization for both technical and non-technical audiences
  • Champion Lands’ End migration to an AWS cloud-based analytic platform and evangelize the use of open source tools and technologies
  • Partner with IT to develop the quality and variety of data assets to improve decision-making and speed-to-market
  • Interact with the Lands’ End-sponsored University of Wisconsin Center of Innovation and other external partners to ensure Lands’ End maintains visibility into emerging trends and enhances its reputation as a place for data professionals to excel
  • Participate in special projects to assess existing and prospective initiatives
  • Collaborate with the legal, compliance, and risk teams to ensure all modeling activities satisfy regulatory requirements and company policy
Qualifications for data science
  • Experience in Software Development, preferably Java and relational database access using SQL
  • Experience in iterative software delivery methodologies – Agile, SCRUM
  • Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, HBase)
  • Bachelor's Degree in Computer Science, Information Technology or “STEM” Majors (Science, Technology, Engineering and Math)
  • 2 years of experience in analytic model development using python, R, matlab
  • Willingness to teach learn

Data Science Job Description

Job Description Example
Our company is hiring for a data science. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data science
  • Enhance the predictive power of existing models, ensuring quality, accuracy, and integration with the operation of the business from start to finish
  • As a Data Science/Engineer you will be responsible for proposing an analytics pipeline architecture for drone analytics
  • You will use your programming skills to create a library to collect usage data from drones
  • You will work with Product Managers to define product Key Performance Metrics KPIs
  • Also, you will use your dashboard skills to pull the drone data collected from a database and generate trends and metrics plots
  • Build a detailed understanding of the opportunity/problem domain and related data assets
  • Ensure data follows the compliance, access management and control policies of the company while meeting the data governance requirements of the business
  • Work with technical groups to support the collection, integration and retention of data
  • Interpret and communicate the results in a manner that is understood by the business
  • Participate in data architecture decisions and technology deployments to support the information processing of large amounts of data
Qualifications for data science
  • Graduate degree, Ph.D
  • 3+ years managing projects as a technical project leader
  • Outstanding analytic and modeling skills, proficient at conceptualizing, implementing, and evaluating highly accurate and scalable solutions to business problems
  • Demonstrated ability to develop and lead complex research and development projects
  • Ability to take full ownership of data product development and able to put on multiple technical business hats
  • Software development skills in high level languages (C#/C/C++/Java/Python) and rapid prototyping platform (MATLAB/SIMULINK)

Data Science Job Description

Job Description Example
Our company is growing rapidly and is looking for a data science. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for data science
  • Define, improve, and advocate standards, procedures, metrics, and policies for metadata management that includes both technical metadata and business metadata
  • Plan and perform activities regarding design and support of logical data models and logical messaging schemas for systems development
  • Leads the development or refresh of data architecture strategies and associated reference architectures
  • Guide and consult with IT and business management regarding use of data
  • Assess and recommend data related tools and technologies for use by the enterprise
  • Provide guidance and assessment of data architectures for the Enterprise Architectural Review process
  • Lead highly complex and creative predictive modeling projects
  • Assemble data sets from disparate sources and analyze using appropriate quantitative methodologies, computational frameworks and systems
  • Research, design, and develop advanced predictive models to achieve targeted outcomes
  • Provide expertise on mathematical concepts for the broader advanced analytics team and inspire the adoption of advanced analytics and data science across the organization
Qualifications for data science
  • Expertise with common machine learning tools (Weka, R, RapidMiner and ) and experience with AWS or Azure is a plus
  • Demonstrated experience with database technologies
  • Must have significant experience working in a cloud environment
  • We’re looking for a bright individual who can go beyond pure analytics, doing business consulting
  • Knowledge of Big Data technologies such as Hadoop, Pig, Hive, Aster, is considered a plus
  • 2+ years of experience with statistical modeling tools (R, Python, SAS

Data Science Job Description

Job Description Example
Our company is looking for a data science. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data science
  • Work towards developing data anomaly detection models using predictive analytics and unsupervised machine learning techniques
  • Provide thought leadership, subject matter expertise and business insight to team and internal/external stakeholders on complex assignments
  • Present findings, share insights and make recommendations that impact business profitability, sales growth, client retention and customer satisfaction
  • Build and enhance advanced analytics practice and capabilities
  • Develop and retain data science talents and lead cross-functional analytics initiatives
  • Responsible for providing data coordinating services for clinical research projects
  • Ensure the integrity of data generated from the division’s clinical research studies
  • Ensure data collected, processed, analyzed, and reported is in a reproducible manner that protects the integrity, authenticity and confidentiality of the data
  • Execute all aspects of an advanced analytical projects with minimal guidance
  • Identify analytical solutions for business problems
Qualifications for data science
  • Has 5+ years of experience in data science or relevant field
  • Familiarity with (R, Python ML libraries, Spark MLlib, or Matlab)
  • 3+ years of experience as a community-builder in data science or tech
  • An existing following in the tech industry, or experience building one
  • Knowledge of and history of contributions to the tech and data science communities
  • Experience presenting in front of large, tech-savvy audiences

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