Senior Data Scientist Job Description
Senior data scientist
provides demonstrable proficiency in coding, programming concepts, and technical tools with analysis: SQL, Python (pandas, scikit-learn), R and Spark;.
Senior Data Scientist Duties & Responsibilities
To write an effective senior data scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included senior data scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Work with product engineering and Customer Support on identifying problems in different areas where data mining/machine learning/statistics can help
Deploy production-scale solutions using the Hadoop Ecosystem, transforming statistical and machine learning models from single node architecture to parallel processing grid technology
Apply advanced machine learning algorithms, statistical methods and predictive modeling techniques on large and varied data sets that include application logfiles, other online application telemetry, structured and unstructured data sources
Collaborate daily with other analytics team members implementing data analysis and machine learning techniques
Autonomously direct data science initiatives to uncover business value using statistical, machine learning and analytics techniques
Design research methods that address questions related to predicting educational outcomes, designing impactful software, and other strategic issues
Analyze research results, draw actionable insights, and present findings to product management and development personnel
Lead the development of business requirements and functional algorithms that can be used in real-time production environments
Provide on-going tracking and monitoring of performance of algorithms and statistical models, troubleshoot and implements enhancements and fixes to these systems as needed
Assess data sources for integrity and validity compared to intended educational proceses
Senior Data Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Senior Data Scientist
List any licenses or certifications required by the position: SAS, FRM, CFA, SQL, CPA, ACE, FEAC, ETL, AI, BPI
Education for Senior Data Scientist
Typically a job would require a certain level of education.
Employers hiring for the senior 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 Statistics, Computer Science, Mathematics, Engineering, Physics, Science, Economics, Machine Learning, Applied Mathematics, Technical
Skills for Senior Data Scientist
Desired skills for senior data scientist include:
R
Python
SQL
Machine learning
Statistics
Spark
Clustering
Java
SAS
Hadoop
Desired experience for senior data scientist includes:
Experience or passion for data visualization, presentation, and communication
At the minimum must have a graduate level degree in a quantitative discipline
Performs data processing and analysis tasks on large-scale, long-term projects that benefit product management and functional owners, user experience research, and product development
Collaborate with development team to ensure projects are clearly defined and properly phased to facilitate timely delivery of functionality
Expert proficiency interrogating distributed databases (Map/Reduce, Hadoop, Hive, ) is also highly desired
Experience of working with extremely large, complex data sets
Senior Data Scientist Examples
1
Senior Data Scientist Job Description
Job Description Example
Our company is looking to fill the role of senior data scientist. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for senior data scientist
- Support development of data tools, such as dashboards and A/B testing platforms
- Reviewing project variances against deliverables and possible changes
- Candidate will work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas
- Use deep business domain knowledge to independently lead the analytics process to identify valuable and innovative insights
- Create software packages that can be reused inside the enterprise
- Work with and analyze large amounts of data
- Present results to management, including data-driven business recommendations and alternatives
- Work closely with product and engineering teams to form good hypotheses on how to improve the business
- Work with engineers to evangelize data best practices and implement analytics solutions
- Develop risk models that enable financial services for our customers
Qualifications for senior data scientist
- Hands-on experience in leading advanced analytics tools (such as R, SPSS, SAS ...)
- Hands-on experience in conducting analyses on unstructured structured / semi-structured data
- Building predictive model for different business situation
- Expertise in machine learning and statistical analysis approaches such as classification, clustering, regression, statistical inference, collaborative filtering, natural language processing, experimental design, social networking analysis
- A minimum of 3 years’ hands-on applied research experience developing and implementing machine learning models on large scale data sets
- Strong communication, writing, and critical thinking skills
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Senior Data Scientist Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of senior data scientist. 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 senior data scientist
- Keep informed of cutting-edge machine learning/big data methods and techniques
- Presentation –bring together disparate data types in compelling visualization packages that provide end users with the ability to see both ‘the landscape’ and details leading to improved decision-making
- Database Support – have the necessary skills to design and develop ETLs and materialized views, possess technical proficiencies in relational database technologies to create physical data models
- Transactional System Support – integrate and generate data reports on existing custom and vendor systems
- Collaboration– candidate will link PPS stakeholders with IR teams to solve data problems in a simple and agile manner
- Present results to stakeholders and external clients
- Serve as thought leader via presentations and publications
- Mentor and collaborate with Jr
- Pursue patents where appropriate
- Be excited by large amounts of data and be comfortable in analyzing them
Qualifications for senior data scientist
- You have a MS degree or PhD from a top-notch institution in a field such as Computer Science, Mathematics, Physics, Statistics, quantitative Economics or Finance
- You speak English and ideally also French
- Transforms formulated problems into implementation plans for experiments by applying (and creating when necessary) the appropriate methods, algorithms, and tools, and statistically validating the results against biases and errors
- Expert in scripting languages like Perl, Python or SQL
- 5 years plus of applying statistical modeling, ML and data mining algorithms to real world problems
- Show strong passion for & understand the need to deliver right business impact by unearthing deep insights from data
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Senior Data Scientist Job Description
Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of senior 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 senior data scientist
- Design, develop, and deliver AI/machine learning enabled solutions for malicious bot detection, behavioural authentication and fraud detection
- Actively contribute to the multidisciplinary team's meetings by providing insights as to how we should frame the problems we are trying to solve and which techniques we should use to solve them
- Assist with data collection, cleaning, visualization, model building, training, testing, and presentation
- Work closely with product teams to assist them with implementation of recommended data-driven solutions
- Apply data mining techniques to cleanse and explore large, complex data sets in preparation for further analysis
- Apply appropriate data reduction, feature selection, and feature engineering techniques
- Develop and implement hypothesis tests
- Develop, validate, and operationalize appropriate mathematical and statistical algorithms and models
- Review, make enhancements to, and execute operationalized algorithms and models
- Develop data products to communicate insights to internal stakeholders
Qualifications for senior data scientist
- Ability to write code is a big plus
- 2+ years of experience developing data pipelines, automated information retrieval and processing systems, advanced analytics tools for research teams and other stakeholders
- Working knowledge of diverse API’s
- Master’s Degree in Mathematics, Statistics, Machine Learning or a related field
- At least 3 years of experience in open source programming languages for large scale data analysis
- At least 3 years of experience with machine learning
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Senior Data Scientist Job Description
Job Description Example
Our innovative and growing company is looking to fill the role of senior 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 senior data scientist
- Design and build scalable machine learning models to meet the needs of ongoing product evolution
- Use mid to large-scale machine learning, data mining and statistical techniques to identify data patterns that drive actionable insights
- Proactively identify and resolve people, process and technology issues to reduce incident mitigation time
- Solve manual issues through automation improvements
- Analyze and Improve the current Natural Language approach and models
- Extract historical incident, root cause and mitigation information
- Determine a common schema to understand and classify incidents to decide next action steps
- Modeling Crisis Management incident behaviors
- Collaborate with Software Engineers to integrate the models and results into the Insights Platform
- Partner with clients and team Leads to successfully delivery data science solutions, including associated documentation and presentations
Qualifications for senior data scientist
- Assist business units with casual inferences & observations with finding patterns, relationships in data
- Design, develop, and implement high performance and easy-to-use data visualization functionality
- Expertise in program development and data cleansing in managed and scripting languages like Python
- Understanding of big data principles
- Minimum 10 years experience with an analytic solutions or consulting company, bank or financial institution for candidates with Master’s degree or Doctoral degree
- Expertise in a wide variety of industry and business areas, including credit risk management processes, organization and risk policies
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Senior Data Scientist Job Description
Job Description Example
Our company is growing rapidly and is looking to fill the role of senior data scientist. 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 senior data scientist
- Developing tools to process data streams and static data
- Define the strategic direction under the guidance of the CDO, trading off between competing priorities
- Translate business challenges into data science problems and applications
- Communicate complex solutions in a clear, understandable way to non-experts
- Design algorithms, build models and prototype solutions for multiple business areas
- Build and maintain software solutions while contributing to large-scale object-oriented applications
- Work in partnership with other members of the Global Data Science and Pricing & Analytics teams
- Work in partnership with the Technology team on evolving data architectures and system solutions
- Able to abstract complex business problems and determine how to use a combination of data to provide a clear, actionable and business-driven answer in a clear, compelling way
- Support junior members of the team to develop their technical expertise and delivery skills
Qualifications for senior data scientist
- Experience in software development (C/C++, Java, Scala )
- High dimensional data analysis (p >> n, dimensional reduction, clustering)
- Familiarity with statistical methods required
- Experience with MapReduce programming on HDFS or D3.js, Python or Linux
- Knowledge of practical application of engineering science and technology
- Advanced degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math or other quantitative fields