Data Scientist Job Description
Data scientist
provides data modeling, mining, pattern analysis, and machine learning for incorporation into customer-facing risk and asset management solutions.
Data Scientist Duties & Responsibilities
To write an effective data scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included data scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Combination of theoretical and/or practical experience across graph databases, recommendation tools such as EasyRec , Apache Mahout, and data mining and machine learning theory and tools Hadoop/ Map, Hive and PIG and HBASE to emerging technologies in this space like Milk, ShoGun
Create and/or execute analytics to find evidence of fraud across channels, products, and businesses (includes data mining, natural language processing, machine learning, statistical analysis, pattern recognition, predictive modeling)
Play with machine learning algorithms and create innovative statistical models to identify fraudulent behavior
Design predictive models powering our Revenue Management tool and traffic acquisition bidder across the sites
Analyze traffic patterns, looking to make inferences from behavior data that will help users find relevant content
Measure and test both algorithmic and UI changes iteratively, letting the data guide the decision making process
Refine a disciplined experimentation, testing and measurement framework and process
Work with other teams, helping them understand user behavior as it relates to their business objectives
Build dashboards bespoke, custom analysis
Enhance existing predictive models and analytics
Data Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Scientist
List any licenses or certifications required by the position: AWS, CEH, GCIH, FRM, CFA, CCA, MCSE, MCITP, SAS, PMP
Education for Data Scientist
Typically a job would require a certain level of education.
Employers hiring for the data scientist 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, Science, Engineering, Economics, Education, Physics, Applied Statistics, Math
Skills for Data Scientist
Desired skills for data scientist include:
Python
R
Statistics
SQL
Machine learning
Data mining
SAS
Clustering
Spark
Information retrieval
Desired experience for data scientist includes:
Advanced degree in applied statistics, mathematics, management science, engineering, economics, computer science, or operations research (Master’s degree required, PhD preferred)
7+ years’ experience in advanced analytics, model building, and marketing optimization
Experience working with big data and real time/near real time analytics and big data platforms like Hadoop
Mix and time series modeling
Response modeling
Lift modeling
Data Scientist Examples
1
Data Scientist Job Description
Job Description Example
Our company is looking to fill the role of data scientist. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data scientist
- Develops and utilizes Teradata and Hadoop data pulls (SQL, HIVE) to produce concise conclusions from raw data in a clean, well-structured and easily maintainable format understand complex business requirements, business goals, and drivers and drive solutions aligning to SHC technology strategy
- Increases pace and confidence of learning by combining state of the art technology and statistical methods (parametric and non-parametric econometrics and machine learning)
- Provide consultation, training and analysis to clients, account management and sales
- Data Scientist will design and implement efficient algorithms, proof-of-concept pilot systems for large scale data analytics
- Needs to be familiar with recommendation algorithms and recommendation engines and systems
- Of structured, semi-structured, and unstructured data in support of
- To work collaboratively with DBAs, data scientists, and analysts to insure that data needs are being met
- Be actively engaged in our games and develop a deep understanding of game mechanics including gameplay and economy
- Design and implement reports that track key business metrics and provide actionable insights
- Communicate findings to the other data scientists, engineers, and leaders within advertising, finance, marketing, and product teams
Qualifications for data scientist
- Deep analytical skills with proficiency in theory and applications of statistical analysis and machine learning algorithms (GLM, Neural Networks, SVM, Bayesian Methods
- Ensemble techniques)
- Skills in programming languages such as Java / C++ preferred
- Experience in designing and implementing a big data analytics environment
- Understanding of algorithmic complexity and scaling of run time and memory usage with larger datasets
- Minimum 3 – 5 years relevant analytics and data mining & modeling work experience
2
Data Scientist Job Description
Job Description Example
Our company is hiring for a data scientist. 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
- Work with various internal and 3rd party data sources
- Provide support for employees from other departments working on problems involving data
- Serving as a consultative partner to the marketing/operations teams to understand needs and translate those new innovative improvements to our optimization algorithms
- Establishing best practices for data collection and analysis
- Determining data warehouse and analysis tools to implement
- Working closely with editors and product teams to re-imagine how we produce content informed by data insights
- Identifying potential data products and working with internal partners to validate and refine proposition
- Leading development of new data products following the LEAN principles - mvp/alpha/beta, rapid iteration
- Working with Senior Cross-functional Leaders
- Plan the statistical testing of new business initiatives
Qualifications for data scientist
- Proven ability to develop and execute sophisticated data mining & modeling solutions
- Strong experience in marketing analytics, including marketing response modeling and customer segmentation experience with online media and targeting a big plus
- Graduate degree in statistics, econometrics, applied mathematics, physics, computer science, engineering, or quantitative field required
- Five or more years of work experience in an analytics role
- Master’s degree in a quantitative discipline such as Statistics, Economics, Mathematics, Computer Science or equivalent
- Basic fluency in SQL, BigQuery or equivalent technology
3
Data Scientist Job Description
Job Description Example
Our innovative and growing company is hiring for a data scientist. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data scientist
- Apply machine learning and statistical techniques to solve complex engineering problems and detect anomalies
- Examine new business initiatives to determine behavior change and causality
- Conduct large scale, repeated analysis on cross-functional data to determine patterns for improving Representative and Customer activation & retention
- Identify new methods of gathering data to understand brand sentiment and proactively improve Representative & Consumer satisfaction
- Build and test analytic and statistical models to incrementally improve the relevance of content recommendations and performance of promotion targeting
- Design and analyze A/B experiments that validate different optimization and solution approaches, and to calibrate model parameters
- Driving personality empowering others in the team
- Develop scalable data processing pipelines
- Perform exploratory data analysis and develop predictive models
- Collaborate with other engineers, and scientists to find effective solutions to technical challenges
Qualifications for data scientist
- Versed in data technologies such as Hadoop, MapReduce, PIG, HIVE, Python, noSQL, MongoDB, Oracle Exalytics and visualization tools such as D3, Tableau
- Working knowledge in statistical analysis packages, such as SAS, R, RAT, SPSS
- Statistical programming (e.g., Stata, R, SAS)
- Database (e.g., SQL, Cognos)
- Good written and verbal communication skills, including an ability to convey technical information to non-technical audiences
- Experience analyzing and communicating statistical analyses required
4
Data Scientist Job Description
Job Description Example
Our innovative and growing company is looking to fill the role of data scientist. 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
- Identify opportunities to use machine learning to solve problems
- Analyze data covering a wide range of modalities (transactions, text, image etc)
- Provide input for product road-maps
- Run computational experiments, and fine-tune model parameters for new forecasting models built by scientists to launch the models in production
- Contribute to the design of automated systems
- Write scripts and database queries to extract data required for analysis and statistical model building from large datasets
- Build analytical tools to measure input data and output from the forecasting system, such as forecast accuracy and the impact of the forecast on the overall supply chain
- Collaborate with research scientists, software developers and business leaders to collect requirements, provide analytical support and communicate feedback
- Work closely with Business Units to identify and answer important business and program questions
- Apply rigorous analytical methods and analyze levers that can drive a better customer experience
Qualifications for data scientist
- Experience making pricing decisions preferred
- Bachelor’s degree in a quantitative field (e.g., economics, econometrics, statistics, finance, the sciences) required
- Master’s Degree or PHD in statistics, mathematics, computer science, physics or some other similar discipline
- Expertise in using statistical software packages
- 5+ years’ experience working with large amounts of datasets
- Experience with machine learning algorithms and predictive analytics
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Data Scientist Job Description
Job Description Example
Our company is hiring for a data scientist. 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
- Utilize a diverse array of tools to deliver insights, including SQL, Access, Power BI, and Python
- Define new metrics and help drive business/engineering team using the appropriate metrics
- Plans for integrating new systems, provides leadership for service-oriented architecture (SOA) programs and adoption, and assesses the risk of implementing new solutions
- Organizes conclusions drawn from data into action items to improve pricing strategy and presents conclusions and action items to BU partners and pricing leadership
- Provides insight into emerging technology and provide direction in the incorporation of new technology
- Establishes reporting and tracking to continuously monitor and report out impact
- Rapidly implement prototypes of actionable decision support systems
- Identify and develop innovative solutions leveraging advanced analytics to support personalization programs and customer strategies, this may include targeting, retention, segmentation, offer optimization, multi-channel contact cadence, CRM decision engine, and messaging
- Work closely with the product teams to identify and answer important product questions
- Analyze and interpret the results of product
Qualifications for data scientist
- Preferred experience in advertising, marketing, analytics or a related field with an understanding of how to leverage and develop strategies and recommendations
- Tailors the content of speech and written communications to the level and experience of the audience
- 3+ years of experience building predictive models, preferably in a business or industrial setting
- Degree in statistics, mathematics, operations research, economics or other quantitative field
- Familiarity with relational databases such as SQL Server or MySQL
- Prior exposure to a BI reporting tool such as Pentaho