Data Scientist / Data Analytics Job Description
Data scientist / data analytics
provides solutions to business & systems problems using data analysis, data mining, optimisation tools, machine learning and statistical techniques.
Data Scientist / Data Analytics Duties & Responsibilities
To write an effective data scientist / data analytics job description, begin by listing detailed duties, responsibilities and expectations. We have included data scientist / data analytics job description templates that you can modify and use.
Sample responsibilities for this position include:
Direct a team of analysts in execution of tasks
Drive for new initiatives to broaden team’s innovation areas and strengthen business impact
Lead team to investigate new solution concepts, and build demonstrators
Create project plan, and lead a team of research scientists and software engineers to develop prototype solutions
Integrate and mine large data sets, connecting data from disparate sources to identify insights and patterns using traditional predictive and prescriptive analytics
Frame and conduct intricate statistical analysis using large structured and unstructured data sets (e.g., speech analytics, digital footprints, customer behavior, financial information, proprietary market research, and secondary sources) with the goal of discovering meaningful implications for business decisions
Be able to translate complex analytics tasks into concise and easily consumable reports
Focus on continuous improvements – push the organization towards new and improved ways to use data to improve business processes
Proactively look for opportunities to improve the business outside of the specific questions asked and understand how to influence the organization to make the needed changes
Work closely with product and engineering teams to identify and answer important product questions
Data Scientist / Data Analytics Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Scientist / Data Analytics
List any licenses or certifications required by the position: INFORMS, FRM, CPA, CFA, AWS, AI, APICS, SAS
Education for Data Scientist / Data Analytics
Typically a job would require a certain level of education.
Employers hiring for the data scientist / data analytics job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Statistics, Computer Science, Mathematics, Engineering, Machine Learning, Management, Computing, Information Science, Writing, Human Relations
Skills for Data Scientist / Data Analytics
Desired skills for data scientist / data analytics include:
Data mining and statistical predictive modeling
Extensive experience applying these methods to real world problems
Fundamentals of machine learning
Healthcare systems and financial services is valued
Transportation systems
Advanced statistical modelling
Data mining
Data science techniques
Querying languages like T-SQL and relational databases
Team
Desired experience for data scientist / data analytics includes:
Experienced with mobile network system
Experience analyzing large data sets, applying a variety of statistical techniques such as regression, discriminant analysis, cluster analysis, CART, and CHAID segmentation
In-depth practical knowledge of statistical analysis software, preferably either R/ Python/ Sas
Knowledge of relevant data frameworks desired
Experience managing outside data analytics vendors a strong plus
1+ years of experience with SAS, SPSS, Python, R, Java, and MatLab
Data Scientist / Data Analytics Examples
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Data Scientist / Data Analytics Job Description
Job Description Example
Our innovative and growing company is hiring for a data scientist / data analytics. 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 scientist / data analytics
- Help build and lead collaborative relationships with external partners, scientific community, and governmental resources
- Mine data (both structured and unstructured) to detect patterns, opportunities and insights that drive our personalization strategy
- Partner with leadership to develop new business analytics, providing visibility to operations and their linkage to customer outcomes
- Analyze, interpret and translate metric performance across functions and different lines of business
- The job entails sitting working at a computer for extended periods of time
- Collaborate with business subject matter experts and IT teams to make strategic recommendations on data collection, integration and retention
- Identify data needs and relevance to hypothesis testing
- Wrangle both structured and unstructured data from both proprietary and third-party sources and use advanced data management tools and big data technologies
- Develop usage and access control policies/systems and partner with other stakeholders in continuous improvement processes impacting data quality
- Create and advance a data science capability to support a world class sales & marketing organization
Qualifications for data scientist / data analytics
- Software development skills in of C, C++, Java, Python, or similar
- Strong product mindset - you ask and tackle the most important analytical questions with a view on driving product impact
- Bachelor's degree in a quantitative discipline such as Statistics, Math, or Computer Science
- Minimum 4 years of SQL and data modeling experience
- Requires strong experience with SSPS
- Experience with Omniture, Adobe Analytics and Report Builder
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Data Scientist / Data Analytics Job Description
Job Description Example
Our company is hiring for a data scientist / data analytics. 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 scientist / data analytics
- Maintain a working knowledge of modeling, data mining and visualization best practices
- Assist team with reporting and analysis including work resolving adhoc tickets in queue
- Interface and support discussions with external private and public entities to support business goals
- Assists in the development and execution of a long term data strategy that would be necessary for the efficient execution of initiatives by the ADA
- Designs data requirements to bring together data from multiple systems for analysis and model development purposes
- Works in high performance computing environments to train and test computationally intensive models/algorithms
- Assists in the creation and implementation of predictive models and risk analytics tools
- Monitors and evaluates the impact and effectiveness of predictive models or analytics tools in production
- Provide analytic solutions for field teams to improve planning and scheduling processes
- Design and develop data analytics models to predict task outcomes or future impact of key organizational decisions
Qualifications for data scientist / data analytics
- Expertise with statistical modeling with R, Matlab, Octave, Python or similar preferred
- Experience with a statistical package such as R, MATLAB, SPSS, SAS, Stata
- Experience working with data analytics software & techniques, including knowledge of SQL, R, Python, Scala, Hive would be advantageous
- Expertise in analytics software tools and packages Matlab, R, Python
- Experience with SQL and one RDBMS product (Oracle, Teradata )
- Master’s degree in nursing informatics, or other applicable healthcare field required
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Data Scientist / Data Analytics Job Description
Job Description Example
Our company is growing rapidly and is looking for a data scientist / data analytics. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for data scientist / data analytics
- Contribute to codebase and infrastructure for quantitative people analytics in general
- See beyond the numbers to recommend, inform, influence, support, and execute people and business decisions across Genentech
- Maximize the likelihood that innovation will continue to thrive at Genentech
- Analysis of big data for data-driven solution validation, evaluation and technology innovation
- Optimising data analysis processes and systems for better efficiency and maintainability
- Writing documentation that clearly explains how algorithms should be implemented, verified and validated
- Monitoring literature of interest and industrial development trends, broadly in the area of big data
- Maintains current market knowledge and awareness of key industry trends in pricing/product segmentation and predictive modeling
- Researches, develops and helps implement innovative pricing models based upon sophisticated predictive modeling/multivariate analysis
- Develops predictive models to support underwriting processes, such as when to order third party data reports or property inspections
Qualifications for data scientist / data analytics
- Requires 5 years of experience in working with clinical data for statistical analysis
- Experience with common data science toolkits and modeling tools (such as R, Python, Knime, MatLab
- You have a strong analytical background (Mathematics / Machine Learning)
- You have good computer science skills and you are proficient at processing data
- In addition, the ideal candidate must be proactive and able to manage in a fast-paced dynamic environment
- Ph.D degree in Computer Science is highly desired
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Data Scientist / Data Analytics Job Description
Job Description Example
Our company is searching for experienced candidates for the position of data scientist / data analytics. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data scientist / data analytics
- Play an integral role in your product team, and ensure their work is rigorously data-driven
- You collaborate with team members and business owners to gather, process and analyze data
- Provide guidance for the junior members of the team
- Collaborate efficiently in a cross-functional team with medical, clinical, engineering and marketing expertise
- Consolidate, monitor and communicate to leadership statistical indicators to support data compliance and auditability
- Work effectively in matrixed teams independently to accomplish project goals
- Analyse a rich body of data and draw actionable insights to guide the development of our products and optimise our marketing investment
- Design and analyse rigorous experiments, and produce well-structured, lucid reports to communicate your findings effectively and allow the business to act with confidence
- Make an immediate impact through your work, informing rapid decision-making at all levels of the organisation
- Challenge assumptions and proactively identify opportunities to add value to the business
Qualifications for data scientist / data analytics
- Familiarity of analytical packages such as R, Python, SAS, Matlab, , and approaches (regression, decision trees, clustering, neural networks)
- Deep knowledge of Excel, SQL and another programming language such as R or Python
- The ability to go from concept to analysis to conclusion, to bring actionable insight to bear, and to convince others using a combination of data and compelling argument
- Extended experience running A/B and multivariate tests and the statistics behind how to run these type of tests
- The sort of personality who thrives in a fast-moving and quickly changing environment
- BS degree (or higher) in Engineering, Computer Science, Physics or any other highly quantitative field
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Data Scientist / Data Analytics Job Description
Job Description Example
Our growing company is hiring for a data scientist / data analytics. 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 scientist / data analytics
- Consolidate large amounts of data from multiple source systems and design tools to aid in the analysis and consumption of this data, continually work to optimize internal reporting tools
- Work with scientists, statisticians, engineers, marketing, and regulatory personnel to advance Sequencing and ddPCR technologies
- Analyze Sequencing and PCR data, develop analytical methods, and build analysis pipeline
- Develop data management solutions for internal and external teams
- Communicate effectively with various teams and provide documentations/presentations as needed
- Support scientists for publications and R&D engineers for product releases
- Design, execute, and read results from A/B testings
- Optimize operational strategies of Trust and Safety
- Identify patterns and trends of incoming user behaviors with risk implications
- Communicate with various teams and leadership and drive influential decisionings
Qualifications for data scientist / data analytics
- Knowledge of other languages including Portuguese, German, French and Italian will be valued
- Strong academic qualifications with a Bachelor’s degree and/or Advanced degree (MS / PhD) typically in a quantitative discipline or related field
- Hands-on work experience with deep technical know-how in machine learning, statistical or heavy numerical analyses, predictive modeling
- Proficiency in analytic / database software and languages such as R, Python, SAS, SQL, SPSS
- Proven comfort and an intellectual curiosity for working with very large sets of data
- Demonstrate strong multi-tasking abilities, flexibility, and patience in a fluid environment