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The Lead Data Scientist, People Analytics will support multiple audiences across the People and Planning Department, including DE&I, Organizational Strategy and Planning, and Talent Experience, by applying a broad suite of advanced analytics techniques to identify drivers of key talent outcomes and to predict likely future outcomes in order to shape recommendations.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plus.
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Experience with Alteryx, Tableau, and other data processing programs. Six or more years of Experience with logical data modeling development tools & languages, visualization tools (Tableau), database management (SQL), & API integration.
Full-timeExpandUpdated 14 days ago - UpvoteDownvoteShare Job
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating thorough knowledge about ETL tools and techniques, such as tools like Alteryx, Power Query, Azure Data Factory, and Power Apps suite of tools.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving; Demonstrating intimate knowledge about designing and implementing data-driven analyses to monitor for compliance with regulations and standards, such as anti-corruption laws, data privacy regulations, and industry-specific regulations.
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Deliver on the technical requirements and success criteria for each data science project by working with the NASA customer and with platform databases, Alteryx, Tableau, Power BI and platform Engineers to understand and meet the customer’s needs.
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Collaborating with cross-functional teams, including Finance, the Office of the Chief Data Officer, the Office of the General Counsel, Business Services Technology, Network Information Security, Internal Audit, and other firm functions to gather relevant data and establish data integrity for analysis.
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As a Lead Data Scientist, you will be responsible for leading significant role-specific project work as a part of a larger cross-functional team in support of one or more lines of business.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Business Acumen, Data Preprocessing, Data Science, Innovation, Machine Learning, Market/Industry Dynamics, Predictive Modeling, Programming, Statistics. The Lead Data Scientist leads the effort to obtain business insights from large data sets through complex data research and analysis.
$112,000 - $160,400 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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The Sr. Data Scientist will be involved in all steps of the process including data gathering, cleaning, validation, analysis, modeling, visualization, and presentation - and will often be responsible for directing the technical work of others on the team as well as in other functions in the department or division.
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You will be helping JLL carve out a market-leader position in sales forecasting and consumer modeling using terabytes of internal and external data sets such as massive mobile consumer data, social media usage and habit data, competitive, and consumer segmentation, plus interacting with client-side business data such as consumer household and point of sale data among many other sources of data.
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For this role, you will be a member of the Waypoint Project Team. Waypoint creates and ingests model data to produce comprehensive optimized multi-year capital plans across a series of data-driven dashboards with dependencies between major network programs allowing for a strong focus on capital-efficient performance outcomes that are feasible based on various build pipelines while emphasizing trade-offs between plans, collaboration, and feedback.
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A minimum of 4 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis. This role is for a Senior Data Scientist on L.E.K.'s rapidly growing Data & Analytics team.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Perform database engineering and administration tasks in, includingdesign/modeling, SQL and script development, SQL and database tuning,data migrations, backups and recoveries, software installations andupgrades, and DBA support (including after-hours when needed) forthree-tier, client/server databases.
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