Data Scientist Lead Job Description
Data scientist lead
provides biometrics representation and leadership in the area of clinical trial design and analysis, including participation in protocol development process, including responsibility for biometrics and statistical sections of the protocol.
Data Scientist Lead Duties & Responsibilities
To write an effective data scientist lead job description, begin by listing detailed duties, responsibilities and expectations. We have included data scientist lead job description templates that you can modify and use.
Sample responsibilities for this position include:
Serving as a subject matter expert in the capabilities of Data Science
Working closely with data and software architects to operationalize obtained analytical solutions and create analytical/business intelligence products
Lead development and implementation of scalable big-data driven solutions for accurate targeting of users with relevant business treatments and efficient algorithmic inventory
Generate Impact data on purposed methodological changes as to assess impact
Balance cost, quality, and schedule requirements to design measurement methods and approaches
Correspond and communicate with internal departments and external suppliers regarding complex project requirements and schedules
Refine, analyze and structure relevant data
Help the business teams solve complex analytical challenges
You’ll have the freedom and responsibility to develop further our service offering and capabilities within the advanced analytics field
You’ll be working with dozens of data sources and different types and sizes of clients from various industries
Data Scientist Lead Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Scientist Lead
List any licenses or certifications required by the position: II, IAT, GIAC, ITIL, MCTS, MCSE, CCSP, CCNP, CCDP, CCNA
Education for Data Scientist Lead
Typically a job would require a certain level of education.
Employers hiring for the data scientist lead 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, Economics, Engineering, Science, Physics, Technical, Math, Education
Skills for Data Scientist Lead
Desired skills for data scientist lead include:
Clinical and biometrics procedures
Identifies critical data and processes from protocol review
Protocol
Supports protocol risk evaluation process
Workflows
Classification and clustering
Software systems
Hadoop
Adobe Social
Applying predictive analytics techniques with client and audience profiling
Desired experience for data scientist lead includes:
Undergraduate degree and above in Statistics, Computer Science, Math or a related field, graduate degree preferred but not required, MBA’s with advanced analytical skills will also be considered
2-5 years’ experience in data mining, customer analytics, or big data analytics in a well-known firm and/ or an equivalent position in a major High Tech industry player
Post graduate in machine learning/statistics/econometrics from top-tier institutions in India or abroad
PhD or Master Degree in Statistics, Operations Research, Mathematics, Economics, Econometrics, Industrial Engineering, or Computer Science
Minimum of 2 years of directly related work experience in Econometric Modeling or Marketing Analytics
Expert proficiency in developing original statistical and econometric models in pricing, assortment and marketing mix to support clients in B2B, Retail and CPG areas
Data Scientist Lead Examples
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Data Scientist Lead Job Description
Job Description Example
Our company is hiring for a data scientist lead. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data scientist lead
- Understand how to harvest complex data from a variety of sources
- Consultative skills and the ability to communicate complicated technical and analytical information to nontechnical audiences
- Develop, process, cleanse and enhance data collection procedures from multiple data sources
- Conduct & deliver experiments and proof of concepts to validate business ideas and potential value
- Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy
- Facilitate integration with enterprise applications using APIs to enrich implementations
- Applies advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real time decision systems
- Leads discovery processes with stakeholders to identify the business requirements and the expected outcome
- Develops tools or evaluates existing tools to address specific constraints in the data flow process
- Integrate analytics with other disciplines to support initiatives, research, and project requirements
Qualifications for data scientist lead
- Demonstrated ability to lead and manage projects and teams
- 3+ years’ experience of relevant quantitative and qualitative research and analytics experience
- Experience working with Large Datasets (Structured and Unstructured Data)
- Ability to design sound methodologies within cost and operational constraints
- Qualitative research and analysis skills (including cognitive interviews, in-depth interviews, focus groups)
- Experience with Microsoft Office applications (Word, Excel, Power Point and Project)
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Data Scientist Lead Job Description
Job Description Example
Our company is searching for experienced candidates for the position of data scientist lead. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data scientist lead
- Ability to understand a problem statement and implement analytical solutions & techniques independently with independently/proactively/thought-leadership
- Building analytics assets
- Help shape vision, design, architecture and roadmap for Data Science team ·
- Retain and grow team of highly skilled Data Scientists and ML specialists
- Drive collaboration and partnership with internal and external teams
- Champion the culture of data and experimentation
- Make ML models available as a service to enable real-time prediction for apps
- Define and lead all analyses to support Innovation initiatives, methodology development, KPI development/ implementation, standards and best practices
- Define and conduct analyses to support Methods programs
- Ensures documentation of the new methodologies and best practices
Qualifications for data scientist lead
- BA or BS degree in a quantitative field, including statistics, machine learning, data mining, operations research, EE, or computer engineering preferred
- Agile driven
- Familiarity with sophisticated data mining & modeling solutions
- Polished, confident, authoritative when meeting with clients
- Deep understanding of digital marketing analytics best practices
- At least 2 years’ experience in Python, Scala, or R
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Data Scientist Lead Job Description
Job Description Example
Our growing company is looking to fill the role of data scientist lead. 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 lead
- Develop load scripts and support development of data pipelines
- Lead complex interdepartmental data science programs that designs solutions across technologies to ensure proper implementation and usage of algorithms
- Collaborate with data experts to identify the most valuable KPI data and reports that would enable business stakeholders to make the most informed decisions
- Enable operations to drive towards the goal of zero downtime
- Develop a deep understanding of the business and its most important data
- Collaborate with Data Engineers on Data Pipeline design/development to ensure data recency, breadth and accuracy
- Help facilitate and standardize data quality across data stores
- Attend team meetings, communicate often regarding status, and be the go to person on the team for Data-related issues
- Lead a team of data scientists to design, prototype, implement and test descriptive and predictive analytics models
- Architect and develop operational models that run at scale thru partnership with data engineer teams
Qualifications for data scientist lead
- You love to take on design challenges
- Self-driven and have a sense of urgency
- Pride in efficient designs and accurate results
- Love to learn and experiment with new technology and like to share your findings with your team
- Versed in statistical analysis packages, such as SAS, Python, R, RAT, SPSS
- Experience in data prep with industry standard tools like R, Python, and with Visualization tools (SAP, QlikView, PowerBI)
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Data Scientist Lead Job Description
Job Description Example
Our innovative and growing company is hiring for a data scientist lead. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data scientist lead
- Estimate analytics build, services transition, run and consumption cost
- Conduct audits of available data resources & tools to develop recommended solutions in conjunction with Planning & the Account teams
- Help define our long-term NLP and ML strategy
- Potentially) Manage people to execute against said strategy
- Use statistical NLP to mine unstructured data for business insights
- Analyze and model structured data using advanced statistical methods and build algorithms and software needed to perform analyses
- Develop solutions and tools to support diverse business needs
- Drive data/engineering solutions as a business using Agile methodologies that will influence improvement of the business's performance by enabling informed decision making
- Manage the art and science of data insights using best practices of software engineering and science of data while driving scientifically rigorous experimentation and innovation
- Perform analysis of data, software, code, requirements, risk and product specifications while maintaining metrics that allow for continues improvement and growth
Qualifications for data scientist lead
- Leverage Spark, Spark Streaming, Spark SQL and similar technologies
- Demonstrated ability to communicate and interact with business and technical competencies without supervision
- Demonstrated ability to translate extremely technical knowledge into business terms
- Bachelor’s degree in Mathematics, Statistics, Science or Engineering
- At least 8 years of analytics or statistical analysis experience
- Develop and manage capacity plan for technology department, highlighting issues / concerns and make recommendations to insure performance objectives will be met
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Data Scientist Lead Job Description
Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of data scientist lead. 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 lead
- Document findings, methodologies, and best practices
- Detect, troubleshoot, and resolve system anomalies that disrupt client deliverables
- May directly interact with the client to understand its needs
- Provide explanation of products and methodologies directly to the client in a format that meets their level of understanding
- Continually develop technological skill set
- Research & develop methods and lead investigations for measuring and analysing multiple streams of data
- Lead, mentor and train a growing team of mid-, junior-data scientists, developers and analysts
- Report and present findings and developments including results clearly and efficiently, verbally and in writing
- Develop distributed and scalable software solutions to build data pipelines and produce interactive visualisations
- Write infrastructure as code and carry out automated tests before deploying to production systems
Qualifications for data scientist lead
- Experience with common data science toolkits, such as R, Gainsight, Weka, NumPy, MatLab
- 2-5 years experience as Data Scientist of a Cloud SaaS company
- Academic qualifications – ME/MTech
- Master's degree in business administration, engineering, information science, computer science or related field preferred
- Experience in a similar role involving consulting, operations analysis, data analytics workflow analysis, staffing analysis, process engineering, tools engineering
- Strong experience with applied statistics (especially experimentation) and defining key business metrics