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Lead Data Analytics and Engineering Scientist Jobs

Data Scientist (Energy Analytics)
By SB Energy At United States
The candidate needs to have experience in supporting energy bidding and offer optimization, congestion management, and/or commercial decision-making.
Bachelor's Degree in a quantitative discipline (e.g., Electrical and Computer Engineering, Computer Science, Finance, Statistics, Economics, Math, or related field).
5+years of working experience in energy and power Markets required with experience in CAISO and ERCOT a plus.
Experienced individual with expertise in multivariate time series forecasting, stochastic optimization, and Monte Carlo simulations.
Competitive Retirement Benefits with 401(k) company match
Thoughtful Hybrid Workplace Set-up Benefits
Data Scientist, Buyer Success Analytics
By eBay At San Jose, CA, United States
E-commerce experience and customer segmentation knowledge a plus.
Strong technical skills to turn big data into concrete insights with hands-on ability in using SQL, R, Python, Tableau, etc.
Proven track record of turning insights into product growth opportunities in prior roles with increasing scope and responsibilities.
Great articulation and communication skills - ability to explain complex analyses and insights into simple terms
Strong background in ecommerce product experience
Strong quantitative background with 2-3 years experience and a Bachelor’s degree in Computer Science, Math, Economics, Physics, Engineering. Master’s degrees preferred
Staff Data Scientist, Analytics
By Airwallex At San Francisco, CA, United States
7+ years industry experience and an advanced degree in a quantitative field
Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
Experience in technology, financial services and/or a high growth environment is advantageous
Ability to perform statistical analysis to drive data-informed decisions
Data Scientist & Analytics Strategist
By NeuroRPM Inc. At Washington DC-Baltimore Area, United States
Data infrastructure design, optimization, and management.
Basic Technical Skills & Qualifications:
Software design and development experience.
Experience in manipulating big datasets.
Experience implementing machine learning models (e.g., random forest, CNN, SVM).
Develop and implement statistical and machine learning models to efficiently utilize sensor data for medical applications.
Data Scientist, Analytics - Ads
By Quizlet At New York, NY, United States
Experience using Google BigQuery, Switchboard, Google Ad Manager
Be embedded in a specific product pod and partner with the Ads Product Manager
Partner with the Ads Finance team to understand business metrics performance
2+ years of experience working on a programmatic or direct ads business
2+ years of experience in analytics at a consumer internet company
Advanced SQL skills, including highly developed QA skills and the ability to write efficient and optimized code
Jr. Data Scientist, Minerva Analytics
By Amazon.com Services LLC At , San Diego Up to $75.63 an hour
Currently enrolled in an accredited college or university Bachelor's degree program.
Majoring in Data Science, Computer Science, or a related STEM discipline.
Graduation date falls between December 2024 and June 2026.
Ability to work year-round: part-time during the school year and full-time during the summer.
Living within commutable distance to San Diego, CA.
Effectively articulate technical challenges and solutions.
Data Scientist, Product Analytics
By Etsy At , Brooklyn, 11201 $104,000 - $136,000 a year
Work closely and collaboratively with product management within the Buyer Experience org to help shape Etsy’s buyer strategy and vision.
2+ years of experience as a data scientist or analyst during which you extracted insights from large datasets
Experience in an e-Commerce setting is a plus
Mastery of SQL, and experience with R/Python and other scripting/automation techniques
Conduct analysis on our buyers’ behavior, helping us better optimize the features they need to complete and continue their purchase journey
Design and analyze rigorous experiments, help teams set great hypotheses, and deliver robust analysis of experiment results
Data Scientist, Product Analytics And Experimentation
By Yahoo At United States
Design and lead time-sensitive strategic research projects involving methodology development, analysis, strategic recommendations, and presentation of findings to Senior Management
Frame business problems into questions that can be answered through data analysis, and translate business needs into requirements
Experience with statistical programming languages such as Python or R
Experience with big data technologies such as Hive, Hadoop, MapReduce, Spark, etc.
Machine Learning skills, including cluster analysis, neural networks, predictive modeling
Significant experience, proficiency in, and passion for Mobile and/or Web products
Data Scientist, Content Analytics Music Partnerships
By Spotify At New York, NY, United States
Craft high impact presentations for senior management on the Music Partnerships teams
Experience creating and scheduling datasets is highly valued. Knowledge of Google’s BigQuery, or DBT is a plus
2+ years (5+ years for senior role) of proven experience analyzing complex data with SQL, Python, and/or R
Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution)
Modeling and statistical knowledge, such as forecasting, AB-testing, or feature engineering for machine learning is a plus
Engineer novel data sets, features and reports that shed a new light on the dynamics of music listening
(100% Remote) Lead Data And Analytics
By LVMH Moët Hennessy Louis Vuitton Inc. Co. At United States
Master’s degree in business or Computer Science in a top school, or equivalent working experience.
3+ years of Experience working in the field of Data & Artificial Intelligence, preferably in a retail or fashion company.
Coordinate the deployment of local use cases with maisons including use case framing, implementation support, and performance measurement.
Explain complex things with simple words, without ever missing the big picture.
Influence stakeholders to deliver concrete data-driven results and value.
Communicate tough choices, and take the time to explain the “why” behind.
Data Scientist, Product Analytics
By Citizen At New York, NY, United States
At least 1-3 years professional experience in data science or analytics
Ability to self-direct, and manage cross functional stakeholders
Strong communication skills, and the ability to develop and articulate a point of view
Real-world experience with experimentation and statistical analyses
Experience with consumer products and ideally, subscription revenue models
Experience with model development, specifically practical model training and validation methods
Data Analytics Lead Jobs
By Cyberjin At San Diego, CA, United States

Ability to handle multiple tasks simultaneously, maintain focus, and adapt to a variety of challenges in a fast-paced agile environment

5 Location / ability to relocate to: Chicago (highly preferred) or San Diego

Data Scientist, Marketing Analytics
By PayPal At New York, NY, United States
You are familiar with data science and machine learning techniques to improve product experiences
Strong problem-solving skills as this is an individual contributor role.
Partner with marketing and analytics teams to understand business requirements, analyze performance and provide actionable insights
Excellent knowledge of SQL. Knowledge of either Python or R.
Excellent knowledge of Statistics, Experimentation, Test Design Setup, Measurement and A/B Testing.
Minimum of 3 years of analytics experience
Data Scientist, Hockey Analytics
By Chicago Blackhawks At Chicago, IL, United States
Excellent written and verbal communication, interpersonal, organizational and project management skills.
2-3 years of work experience in statistics, computer science, machine learning, mathematics, or a related field.
Degree in computer science, statistics, mathematics, economics, finance, business analytics, or related field.
Experience analyzing datasets and training statistical models using R, Python, or equivalent.
Ability to manage priorities and coordinate tasks to solve day-to-day challenges in a dynamic environment.
Build, maintain, and optimize statistical models to evaluate specific aspects of player value and to answer other hockey research questions.
Technical Program Manager Ii, Data Engineering And Analytics
By Google At San Francisco, CA, United States
Bachelor’s degree in Information Systems, Computer Science, Data Science, Analytics, Mathematics, or equivalent practical experience.
6 years of experience in data using SQL and Python languages.
3 years of experience in architecting and leading data engineering, data warehousing, dimensional modeling, data analytics, business intelligence, and data solutions.
2 years of experience managing projects.
2 years of experience managing cross-functional or cross-team projects.
Experience leading organizational change efforts using data tools and solutions to improve organization efficiency.
Data Scientist, Analytics At Scale
By Eli Lilly and Company At Greater Indianapolis, United States
Strong leadership and project management skills.
Manage and prioritize multiple projects simultaneously
Experience with machine learning algorithms and statistical modeling
Strong problem-solving and analytical skills
Excellent communication and presentation skills
Years of experience in a data science role
Data Scientist, Analytics At Scale
By Eli Lilly and Company At Indianapolis, IN, United States
Strong leadership and project management skills.
Manage and prioritize multiple projects simultaneously
Experience with machine learning algorithms and statistical modeling
Strong problem-solving and analytical skills
Excellent communication and presentation skills
2+ years of experience in a data science role
U.s. Data And Analytics Lead
By LVMH At New York, NY, United States
Master’s degree in business or Computer Science in a top school, or equivalent working experience.
7+ years of Experience working in the field of Data & Artificial Intelligence, preferably in a retail or fashion company.
You have experience in navigating complex organizations, you put in place solid governance schemes and clear decisions processes.
Coordinate the deployment of local use cases with maisons including use case framing, implementation support, and performance measurement.
Publish best practices, playbooks & animate the local community of Data Activation Experts and Business teams.
Explain complex things with simple words, without ever missing the big picture.
Data Scientist, Marketing Analytics
By Etsy At Brooklyn, NY, United States
Experience with Looker, Tableau, or other data visualization software a plus
Develop, implement, and refine core marketing measurement frameworks and models, including attribution, churn, CLV, return on investment, experiment methodology, and segmentation
Continually evaluate and refine your technical toolkit, sharing what you learn with the team
Proven ability to communicate your insights verbally, visually, and in writing with teammates and business partners
Comfortable guiding others, recommending tools and standard methodologies to improve the efficiency of the teams work
Strong, independent, analytical problem solver who enjoys thinking about and solving complex and nuanced problems
Data Scientist, Decision Analytics & Optimization
By BioSpace At Indianapolis, IN, United States
Have experience with finance, commercial, and ethics applications, simulation, and/or modeling complex systems.
Proven experience producing computationally efficient software to meet real-time requirements.
Solve complex business and healthcare problems with advanced analytics and AI/ML methods, particularly in finance.
Bachelor’s in Statistics, Operations Research, Physics, Computer Science, Engineering or quantitative related field with five years of hands-on data science experience
Strong written and verbal communication skills
Experience with Advanced Analytics and AI/ML in cloud environments (e.g. AWS)

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