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We are seeking a highly skilled Director of Data Science & Analytics to shape our company's data-driven decision-making. A track record of designing and executing data science roadmap and delivering data products and insights that influence engineering and business decisions.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Expertise in data science tools and platforms (Databricks, TensorFlow, DataRobot, Palantir, Apache Spark, C3. Extensive experience in data analysis, statistical modelling, ML, and LLM, with a solid understanding of various data science methodologies, their best-practices, and their practical applications.
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Preferred Qualifications: Master's degree in data science Knowledge of relational databases such as MySQL , snowflake and BigQuery. Basic Requirements: Bachelor's degree in computer science, Data Science or related technical field 10 years of technical experience doing data science in a Telecommunications company 5 years of experience performing data science and programming 5 years of experience using AWS Cloud technology 5 years of experience programming using C/C.
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Master's in data management, Bioinformatics, Data Science, Biostatistics, Biology or related field. Bachelor's in data management, Bioinformatics, biotechnology, computer science, information technology, engineering, mathematics, physics, data science or related discipline.
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You will partner with our Global Data Science teams to design, develop, deploy and operate machine learning driven applications and data pipelines. Collaborating with Data Science to deliver state of the art ML products.
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Work with the Data Science Services team to provide beginning to intermediate data analysis consulting services for faculty, students, and staff from a wide range of disciplines across the university in the following areas: Data Engineering Extract, scrape, process and engineer data using a variety of tools such as Python, R, Stata, NVivo, etc.
$117,150 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Senior candidates will be expected to play a leadership role as the Associate Director of the new NJIT Institute for Data Science, whose Director is Distinguished Professor David Bader. The Department of Data Science at New Jersey Institute of Technology (NJIT) invites applications for tenure-track faculty positions starting in Fall 2023.
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8+ years of relevant data science experience in an applied role – preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI. The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer.
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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Master’s Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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Final Data Review & Reporting Document Prep. Required: Bachelor’s degree in Biology, Zoology, Animal Science, Mathematics, or other closely related STEM field. To assist in research and testing which support development of products or procedures, collect, and manage data, provide technical surgical assistance during animate and inanimate labs, and coordinate appropriate project/study logistics while ensuring data integrity and regulatory compliance.
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A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. The Lead Data Scientist at The Friedkin Group (TFG) will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives.
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10+ years of professional experience in data infrastructure (including data warehousing, ETL processes, and scalable data architectures), data engineering, and/or data science roles, with a focus on HR data.
$304,590 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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The role requires expertise in electrical engineering or computer science, with a preference for additional experience in patent prosecution related to software, data science, AI, networking technologies, and machine learning.
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The Data Scientist for the Marketing Applied Science Team is an internal expert on methodology and practice of marketing analytics. Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression.
$181,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
data science jobs Company: 3m in ME, Germany
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With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
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One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
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As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.