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Lead Data Analytics and Engineering Scientist Jobs

Data Scientist - Commercial Analytics
By MGM Resorts International At Nevada, United States
Collaborates with analysts and engineers to specify data requirements. Performs data collection, mining, pre‐processing, normalization, and feature engineering.
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, Economics, or a STEM-related field; or equivalent experience.
1 + years of prior relevant Data Science experience.
Expert level skills in at least 3 areas: Forecasting, Rec engine, statistics and optimization, machine learning, and/or Markov and graph theory.
Hands‐on expert-level skills in Python, SQL, and Spark.
Mastery level AI/ML modeling expertise in at least 3 areas: Personalization, Marketing, Customer Experience, Customer Analytics, and/or Venue Analytics.
Data Scientist- Business Banking Analytics
By Citizens At Columbus, OH, United States
Manage and analyze call disposition data to optimize lead selection and assess performance
Bachelor’s or Master’s in a quantitative discipline such as Statistics, Computer Science, Data Science/Analytics, Mathematics, Economics, Finance or related fields
Strong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SAS, SQL, R, Python, etc.)
0-5 years of experience in Analytics or Computer Science/Programming, particularly with Financial Services application
Generate and deliver sales leads to drive customer deepening and portfolio growth
Maintain production programs to consistently deliver sales leads to colleagues across the bank per the schedule required (daily, weekly, biweekly, intra-day)
Lead Data Scientist Jobs
By Evans Denham LTD At United States
Knowledge of data management and visualization techniques
Manage a team of data scientists, machine learning engineers and big data specialists
Proven experience as a Data Scientist or similar role
Good knowledge of R, Python and MATLAB
Experience with SQL and NoSQL databases
Strong organizational and leadership skills
Data Scientist / Quality Engineering Lathrop
By Tesla At Lathrop, CA, United States
Work with management to prioritize business and information needs
Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
Extensive experience writing software with Python
Experience with multiple data architecture paradigms (e.g. SQL, NoSQL, Kafka, Spark)
Experience and interest in frontend development, preferably with the Javascript React framework
Knowledge of various data communication protocols (e.g. REST API, Websockets)
Data Scientist, Product Analytics
By Ontra At United States
Intermediate scripting: Experience using a scripting language (python, R, etc.) to perform analytical work, building toward python expertise
Effective communication: Excellent communication and problem solving skills and ability to effectively collaborate with functional leadership across the organization
Inform strategy: Collaborate with product and business leaders to develop metrics and dashboards that support company objectives and key results (OKRs)
Serve as a subject-matter expert: Provide guidance both to stakeholders on how to use data in decision making
Detail-oriented mindset: A strong attention to detail and a well-reasoned sense of skepticism toward the results of analyses
Opportunity to participate in Ontra’s unit-based compensation program
Data Scientist, Enterprise Analytics
By IGS Energy At Ohio, United States
Work closely with stakeholders, end-users, and business analysts to understand requirements and scope project
Comprehensive healthcare benefits including medical, dental, vision, and employer health savings account contributions
And more, such as paid time off, flexible spending, employer paid life and disability, employee assistance program, and domestic partner benefits
Analyze various data to understand relationships, integrity and how data can be leveraged
Maintain and develop quality standards for data assets within pipeline
Proactively partner and field requests from business partners for prospective, in-flight, and future ML pipelines
Data Scientist - Pricing & Analytics, Fintech
By Hopper At United States
Strong experience, knowledge of, and/or keen interest in Fintech, Insurtech, or risk-based products
Open communication with management and company leadership
Strong creative problem-solving skills and critical thinking competencies
Experience with data visualization tools (Tableau, Amplitude, Big Query)
Initiate, develop, and maintain data pipelines that power our decision making
Measure business performance by identifying and refining KPI metrics and creating reporting frameworks to continuously monitor them
Data Scientist - Data Analytics
By Datum Technologies Group At Atlanta, GA, United States
Bachelor's degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, or equivalent combination of education and experience.
Master's degree in Operations Research, Industrial Engineering, Computer Science, Data Science, Statistics, Mathematics, or equivalent combination of education and experience.
Experience in leading data science, predictive modeling, or advanced analytics projects.
Advanced knowledge of Microsoft Excel, Word and PowerPoint are required.
Knowledge of Client or other operational and/or learning processes.
Help develop and implement analytics solutions to disseminate data and analysis to reduce risk and enhance operational and people focused capabilities
Senior Data Scientist And Ai Lead
By Plantible Foods At San Marcos, CA, United States
Prior experience in management and team leadership roles
Leverage deep domain knowledge in remote sensing applications in agriculture to drive innovation
Deep understanding of remote sensing applications in agriculture, including data sources, trends, and business requirements
Implement cutting-edge AI models and data pipelines for remote sensing applications in agriculture
Manage data acquisition, cleaning, and feature engineering
Expertise in designing and implementing AI models and data pipelines for remote sensing applications in agriculture
Data Scientist, Analytics Jobs
By Airtable At Los Angeles, CA, United States
Manage the design and analysis of experiments; develop and socialize a rigorous culture of experimentation throughout the entire company.
You have 6+ years previous experience as a data scientist, data analyst, or data engineer
You have strong knowledge of statistics and experimental design.
Partner with sales teams to help drive insights, identify opportunities, and understand behavior and long-term trends.
Take a leading role in producing new datasets that unlock business opportunities.
Play a foundational role in building a data culture at Airtable through reproducible work, improved processes, and better tooling.
Data Scientist, Analytics & Insights
By LG Electronics North America At Englewood Cliffs, NJ, United States
Support Ad hoc data analysis requirements as needed
Some experience with AWS, Azure or GCP required. Experience with Google Marketing platforms and GCP preferred (Big Query and BQML)
Experience working with GA360 log level data a plus
Design and deliver data-driven insights and automation for marketing (using statistics, data mining, machine learning, and deep learning techniques as applicable)
Work with various client marketing teams to understand their challenges and create solutions
Be a thought leader for your team on projects and about leading technologies
Sr. Director Data And Analytics Engineering
By Adobe At , Lehi, 84043, Ut $180,500 - $387,200 a year

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional ...

Lead Instructor For Data Analytics
By Masterschool At United States
2+ years of experience as a Data Analytics Instructor (Bootcamp or University).
2+ years of industry experience as a Data Analyst or equivalent.
Proven experience in creating a complete unit/course from scratch.
Developing and delivering high-quality live classes in data analytics.
Creating and curating engaging self-learning content, including videos, practices, competitions, and more.
Designing quizzes, assessments, and projects to gauge student understanding and application of the course material.
Data Engineering Manager, Analytics (Monetization)
By Meta At , Remote $165,000 - $232,000 a year
Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.
Data Engineering Manager, Analytics (Monetization) Responsibilities:
Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
Manage data warehouse plans across a product vertical.
Manage the delivery of high impact dashboards and data visualizations.
Define and manage SLA’s for all data sets and processes running in production.
Data Scientist - Marketing Analytics
By MarketBridge At Washington, DC, United States
Has 2+ years of experience in data-driven consulting, market research, and data science
Has experience with integrating stimulus, response, and control data from a variety of sources including agencies, internal systems, and technology platforms
Has experience in econometric techniques, including panel data, ridge regression, and multiple functional forms as well as machine learning techniques
Has experience coding in R and/or Python, including data munging
Has experience creating reproducible deliverables (Rmarkdown, notebooks, etc.)
Experience with version control (git, github, etc.) and modern data storage (MapReduce, Spark)
Data Scientist, Insights & Analytics
By Dollar General At Goodlettsville, TN, United States
Experience with code management tools such as Github (familiarity with CI/CD practices preferred)
Strong problem-solving skills utilizing expertise, business judgment and robust quantitative analyses
Practical experience ingesting and manipulating large volumes of data (millions of records)
Experience with retail industry or marketing and media networks is preferred
Bachelor’s in a highly quantitative/STEM field considered with the right experience.
2+ years hands-on industry (non-academic) experience in Data Science (or equivalent quantitative job title).
Engineering Scientist Jobs
By Compunnel Inc. At Marlborough, MA, United States
·Basic data analysis and statistics experience is expected
·Equivalent relevant industrial experience with clean room + wafer level processing methods & tools.
·5-15+ years hands-on industrial experience in semiconductor fab environment
·Good written and verbal communication skills
·Experience performing semiconductor industry lithography processes, including wafer spin-coating, lithographic patterning + developing.
·Curiosity and excitement to learn beyond assignments, excellent problem-solving skills
Data Scientist, Tooling And Analytics
By Enlitic At Fort Collins, CO, United States
Experience working under design controls and quality management systems
Remote or Fort Collins, Northern Colorado Area
Graduate degree or equivalent in a STEM field, such as Applied Mathematics, Computer Science, Physics or other related degree or experience
3+ years of industry experience with production modeling
Experience with AWS or other cloud technology
Strong teamwork, communication skills, passion, creativity, productivity & learning agility
Scientist - Protein Engineering
By Bristol Myers Squibb At San Diego, CA, United States
Bachelor's Degree in structural biology, biochemistry, molecular biology, or related discipline and 5+ years of academic / industry experience
Master's Degree in structural biology, biochemistry, molecular biology, or related discipline and 3+ years of academic / industry experience
PhD in structural biology, biochemistry, molecular biology, or related discipline No experience required
Ph.D. in structural biology, biochemistry, molecular biology, or related discipline ; Master’s degree with at least 3 years of post-graduate experience
Some experience with protein-protein binding assays (Biacore, Octet) desired
Responsibilities will include, but are not limited to, the following
Lead Data Scientist Jobs
By Glo At Los Angeles, CA, United States
Manage Data Engineer and mentor junior data scientists, providing guidance on best practices.
Stay up-to-date with advancements in data science to improve modeling capabilities.
You are familiar with machine learning and data mining techniques, and you have experience building predictive models.
You have experience working with large datasets, and you are able to identify and address data quality and integrity issues.
You have proven experience mentoring junior data scientists and guiding best practices in modeling and analysis.
At least 5 years of experience in data science, machine learning, and statistical modeling.

Are you a data analytics and engineering scientist looking to make an impact? We are looking for a passionate and experienced individual to join our team and help us develop innovative solutions to complex problems. You will have the opportunity to work with cutting-edge technologies and collaborate with a diverse team of experts to create data-driven solutions that will drive our business forward. If you are excited by the prospect of working on challenging projects and pushing the boundaries of data science, this is the job for you!

What is Lead Data Analytics and Engineering Scientist Skill Requirements?

• Strong knowledge of data analytics, engineering, and scientific principles
• Proficiency in programming languages such as Python, R, and SQL
• Ability to analyze large datasets and draw meaningful insights
• Excellent problem-solving and communication skills
• Ability to work independently and collaboratively

What is Lead Data Analytics and Engineering Scientist Qualifications?

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
• 5+ years of experience in data analytics, engineering, and/or scientific research
• Experience with machine learning and artificial intelligence
• Experience with data visualization tools such as Tableau and Power BI

What is Lead Data Analytics and Engineering Scientist Knowledge?

• Knowledge of data mining and predictive analytics
• Knowledge of statistical analysis and modeling techniques
• Knowledge of cloud computing platforms such as AWS and Azure
• Knowledge of data security and privacy protocols

What is Lead Data Analytics and Engineering Scientist Experience?

• Experience with data engineering and ETL processes
• Experience with data warehousing and data lake architectures
• Experience with data governance and data quality management
• Experience with data analysis and reporting tools

What is Lead Data Analytics and Engineering Scientist Responsibilities?

• Develop and implement data analytics and engineering strategies
• Analyze large datasets to identify trends and patterns
• Develop predictive models and machine learning algorithms
• Design