Staff Data Scientist Job Description
Staff data scientist
provides your expertise across analytical/technical aspects of the team including; machine learning, deep learning, data mining techniques, statistical techniques, dimensional reduction, R, Git and JIRA.
Staff Data Scientist Duties & Responsibilities
To write an effective staff data scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included staff data scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Stay up-to-date in the field of machine learning and deep learning
Experience with using machine learning algorithms and/or statistical methods
Knowledge of common machine learning algorithms and libraries
Complete proof of concepts and other technical evaluations of machine learning technologies, and design solutions
Work with large volumes of data
Analyze data covering a wide range of information from user profile to transaction history
Understand how users interact with the product through analysis of the logs
Establish causality that is otherwise too messy or not possible through observational study
Build predictive models and analytics
Automate data collection, aggregation, and visualization to produce metrics that are actionable
Staff Data Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Staff Data Scientist
List any licenses or certifications required by the position: SCRUM, PMP
Education for Staff Data Scientist
Typically a job would require a certain level of education.
Employers hiring for the staff data scientist job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Computer Science, Science, Engineering, Mathematics, Statistics, Technology, Math, Industrial, Economics, Machine Learning
Skills for Staff Data Scientist
Desired skills for staff data scientist include:
Statistical techniques
Deep learning
Information retrieval
Machine learning
Scikit-learn
Spark
Statistics
AWS data toolset
Advanced statistical techniques suitable for analysis of highly skewed populations
Areas of machine learning
Desired experience for staff data scientist includes:
CS background
SQL (should be able to write basic to complex queries on various DB systems)
Proficient in using “R”
Dealt with “Big Data” problem
Experience in building and tuning models
Check on the system pulse and resuscitate as needed
Staff Data Scientist Examples
1
Staff Data Scientist Job Description
Job Description Example
Our company is searching for experienced candidates for the position of staff data scientist. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for staff data scientist
- Oversee the design, development and management of real-time and back-end (i.e., non-real time) risk and fraud models to predict and control risk associated with new accounts, and to combat credit card fraud, bank account fraud, identity theft fraud, spoof fraud
- Monitor the performance of models, rules and fraud queues, in collaboration Operations to optimize the queue prioritization, headcount allocation
- Big part of your responsibilities will be project-based
- Extract insights and scale sentiment analysis from comments and other forms of feedbacks using Natural Language Processing
- Bring a combination of mathematical and scientific rigour, entrepreneurial thinking, and a hunger to build intelligent machines that drive the company forward
- Translate unstructured, complex business problems into practical, powerful algorithmic solutions
- Design, execute, and analyse live experiments to test what you build
- Work closely with engineers, product managers, and designers
- Work in cross-functional teams to translate big-data
- Work in cross-functional teams to translate algorithms into
Qualifications for staff data scientist
- Experience/proficiency in at least one compiled/object oriented programming language Java/C++
- Experience with big data technologies such as Hadoop, MapReduce, Mahout, Hive, Pig and parallelization tools in enterprise Big Data Platform stack, technologies and ecosystem is a strong plus
- Demonstrated ability to work in highly collaborative
- Required MS Degree or PHD in Computer Science or equivalent experience
- Minimum 8+ years of experience with analytic solutions, large bank, financial services or consulting company
- Ability to examine data and detect possible problems
2
Staff Data Scientist Job Description
Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of staff data scientist. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for staff data scientist
- Engage in ideation, design and development of superior detection and alerting mechanisms
- Engages dev leads and architects with a Dev Ops mindset with all stakeholders and focus on problem-solving
- Demonstrate a high degree of originality and creativity when developing solutions to improve existing business processes within supply chain utilizing methods such as statistical analysis, regression modeling and optimization
- Work independently to manage multiple projects at once while ensuring deadlines are met and data output is accurate and appropriate for the business
- Create models to analyze the supply chain network need to support future sales growth with scenario modeling capabilities to understand the sensitivity to multiple variables
- You will be designing and developing algorithms to be applied to large datasets to solve business problems
- You will be spotting opportunities for new ways to process data to deliver new analytics and delivering on these
- You will be producing robust prototype code and designs that demonstrate new ideas and technologies and working with the business to help bring new products to market
- You will work in the Viavi research and innovations team and with close links to the product engineering team
- You will primarily be working in the Viavi Newbury office, but also sometimes working directly at a customer’s site
Qualifications for staff data scientist
- Communicate clearly and effectively both orally and in writing with persons having diverse backgrounds of knowledge and experience
- Conceive and initiate projects
- Works well through ambiguity
- Ability to recruit, retain and grow top talent
- Discover data sources, get access to them, import them, clean them up, and make them “model-ready”
- Developing and/or applying diverse modeling methodologies in a business or marketing environment
3
Staff Data Scientist Job Description
Job Description Example
Our company is looking for a staff 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 staff data scientist
- Involve in full stack software development for AIOps projects/products including data collection, data process, big data, machine learning services and visualization technologies by using state-of-art technologies including development/deployment in cloud, containers, microservice, Hadoop, NoSQL, large scale messaging systems, machine learning services, and visualization of big data
- Oversee the design, development of real-time and back-end (i.e., non-real time) risk and fraud models to predict and control risk associated with new accounts, and to combat credit card fraud, bank account fraud, identity theft fraud, spoof fraud
- Assist in building self-learning systems that can assist in medical diagnosis and move to predictive results based on multi parametric data sets (imaging, non-imaging like EMR and wave form)
- Provide guidance to data collection teams on test protocols including design of experiments, sample size, and statistical distributions
- Work with product owners and clients to fully understand business requirements and desired business outcomes
- Provide analytical assistance and solution to both interior and exterior clients, ensure smooth performance of risk model in production
- Perform other tasks on R&D, data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basis
- As an insight incubator, works autonomously or leads teams to generate or shape new and highly critical business propositions that exploit and monetize big data research
- Works with business planners to propose innovative products and services that fully utilize the power of big data, or that indicate the need for new data platforms and associated product/service functionality
- Collaborates with infrastructure architects in assessing and addressing the requirements for more automated, streamlined systems and for the data governance required for agile and responsive data manipulation
Qualifications for staff data scientist
- Experience with sales and marketing analytics such as pricing and revenue management models, customer sentiment analysis, market segments visualization and optimization
- Experience with scripting in a Linux environment and working with databases (SQL, non-SQL, HBASE)
- Experience with statistical and mathematical modeling environments (R, Python, MATLAB, Weka)
- Experience in web development, PHP scripting and Java is a plus
- Experience with common data science toolkits, such as R, NumPy, MatLab, Excellence in at least one of these is highly desirable
- Experience with databases and database extracts
4
Staff Data Scientist Job Description
Job Description Example
Our growing company is hiring for a staff data scientist. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for staff data scientist
- Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community
- Design, analyze, develop, test, and deploy complex analytical models into enterprise data systems
- Leverage software development principles and break down tasks into measureable time specific milestones
- Enhance architecture and systems to improve processes, refresh technical capabilities, and ensure that deliverables are state-of-the-art
- Complete documentation, business reports, white papers, and technical/statistical assessments
- Delegate and manage work as necessary
- Provide guidance and oversight to other analytical staff and third party teams
- Develops and maintains cutting edge loss prevention products and techniques
- Builds and maintains a set of models that provide relevant, timely, and actionable scores based on merchant, batch, and transaction riskiness
- Provides guidance and support to Business leaders and stakeholders on how best to harness available data in support of critical business needs and goals
Qualifications for staff data scientist
- Good scripting and programming skills, Linux preferred
- Experience with quality data and production metrics
- US Citizens or Permanent Residents only
- Proven track record of building effective algorithms at industry scale
- Extensive experience with regression and classification modelling in a prediction/control setting, and strong grasp of the associated concepts
- Experience with integer optimisation, time series modelling, recommender systems, and experiment design are all useful
5
Staff Data Scientist Job Description
Job Description Example
Our company is searching for experienced candidates for the position of staff data scientist. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for staff data scientist
- Manages a growing team of data scientists to build and maintain the models and provide business partnership with key stakeholders … accountable for hiring, mentoring, performance management, and directing the work of others
- Identify opportunities for different NLP techniques and evaluate which are best
- Develop new analytics, diagnostics and metrics within the python-based CDAT software system based on user requirements
- Provide assistance to users of the CDAT and ESGF software systems
- Develop, maintain, and contribute to plans for new projects, maintenance releases, code management, and lifecycle replacement
- Employ moderately complex to complex software engineering methods to gather functional requirements, provide input and status for project tracking, conduct systems analysis, prototype using appropriate tools, and follow proven software and quality assurance methodologies
- Write and review technical and end-user documentation
- Give formal and informal presentations to staff members, external collaborators, and scientific conferences
- Contribute to publications of research results in technical reports and peer-reviewed journals
- Playing leading role in a data science or cross disciplinary team on commercially-facing development projects, typically involving large, complex data sets
Qualifications for staff data scientist
- Good understanding of specific challenges of working with Big Data, click-stream data and log files
- Expertise in developing predictive models using traditional packages (SAS/SPSS/R…)
- Proficient in database query language such as SQL (Oracle, Teradata, MS SQL…)
- Experience in BigData technologies such as Hadoop/Hive/Hbase/NoSQL and developer skills in Python, Perl, and Java are highly desired
- Experience in delivering results with visualization tools (BusinessObjects, QlikView, Tableau, Splunk, Kibana…)
- Fluent communication and presentation skills in English