- UpvoteDownvoteShare Job
- Suggest Revision
Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.
RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Doctorate (MD, PhD, VMD, or DDS) in computer science, computational biology, data science, bioinformatics, biomedical informatics, biostatistics, engineering, or a related quantitative field is required.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Work with our data science and product management teams to design, rapidly prototype, and productize new data product ideas and capabilities. Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack, which encompasses Snowflake, Airflow, DBT, and AWS data services.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our cloud-based platforms - Axtria DataMax, Axtria InsightsMax, Axtria SalesIQ, and Axtria MarketingIQ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning and manage end-to-end commercial operations.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Requires a Master’s degree in Computer Science, Mathematics, Statistics, Engineering or related field, plus two (2) years of data science or related experience in data analysis including experience deploying ML (machine learning) models in different deployment architectures, databases, streaming and messaging queues; designing data labeling workflows with cloud-based tools in AWS or GCP; optimizing model performance; and conducting error analysis on baseline ML models.
$159,650 - $175,615 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
PhD and/or MD with a background in Computer Science, Informatics/Biomedical Data Science, Engineering, Statistics, Computational Biology, or a related field. The postdoctoral scholar will be co-mentored by Professor Joseph Liao in the Department of Urology and Professor Lei Xing in the Department of Radiation Oncology.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You will lead small to medium projects which leverage data science techniques to mine and interpret data to solve strategic, tactical, structured, and unstructured business problems that are posed to them.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
ESSENTIAL DUTIES & RESPONSIBILITIESThe Regional Data Coordinator key areas of responsibility include:Key Areas of Responsibility:Serve as the primary data evaluator and needs identifier for their Service Planning Area (SPA.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
A minimum of 5 years of hands-on experience in data science, machine learning, and natural language processing (NLP) roles, including designing, developing, and deploying data-driven solutions.
$180,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a highly motivated Data Science Engineer with a strong foundation in software and/or data engineering, you’ll support the Leader of AI/ML in the automation of our feature engineering pipelines and workflow processes.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency in Yardi, Nexus and/or other ERP software systems is a plusProficiency in advanced data analytics tools such as PowerBi or Tableau is a plusUnderstanding of basic concepts in data base management such as Azure, SQL, et cetera is a plusBeing able to quickly master new software packages is a must.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Expert in Cloud & Data Technology and the market trends within GCP, Azure, AWS, Data Bricks & Snowflake ecosystems. Skills Needed: Blend Between Technology Consulting & Engagement Management Within Data Solutions Ideally someone who comes from consulting background, no specific industry needed Someone not far removed from Modernized Data Environments & Tech This person is Not an Architect, Engineer or Delivery Manager, but most likely used to be pre leadership Not looking for an Account Manager, Business Development Director or Project Manager 15+ Years Of Exp Min.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Bachelor's degree or above in data science, data engineering or/and business management fields. Experience with Data analysis, reporting, and visualization tools such as Excel, Tableau, and Power BI.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As part of the Capgemini Invent team, the Managing Data Scientist/Data Science Senior Manager will support our business by performing strategic and tactical analyses to derive insights, trends, conclusions, and actionable recommendations leveraging various data sources such as longitudinal clinical and claims, healthcare provider interaction, social determinants of health (SDOH), wearables/IoT data, weather, and other exogenous data sources.
ExpandApply NowActive JobUpdated 2 days ago
data science jobs Title: data science lead in Los Angeles, CA
FEATURED BLOG POSTS
A Comprehensive Guide to Becoming a Better Conversationalist
Have you ever stood awkwardly next to someone at a party because you didn’t know what to say to them? How about at a networking event or on a first date? You're not alone if you’ve ever experienced this uncomfortable silence. Many people struggle to master the art of being a great conversationalist.
Why is Non-Verbal Communication Really Important?
In a world where words and phrases rule daily communication, you may wonder why non-verbal communication is important. Whether you realize it or not, you communicate more with nonverbal actions than you do with verbal communication. When you interact with your peers, people are reading your body language, facial expressions, voice, and many other factors that help fill in blanks that words can't fill.
Making Hybrid Work More Efficient
Covid was a catalyst for change in the work environment. Keeping people safe and helathy was the initial goal for employers, but the unintended result was the considerable demand in remote work. Now, onsite work has been dramatically altered to remote work, which is now transforming into a combination of the two: hybrid work.
Making the Move to Salary Transparency
The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.
Brand Reputation 101
People's initial perception of your organization is also known as your brand reputation. Your brand rep either encourages or discourages people from engaging with your company. This means the way people view your company will affect sales and even recruiting efforts.
Recruiting in a Tight Market
As a recruiter or employer, you know how much the economy affects your recruitment and retention efforts. You aren't just in competition with companies in your industry, but you are also fighting against inflation, recession, unemployment rates, and so much more.
How to Build a Candidate Persona
A candidate persona is a semi-fictional representation of your ideal candidate. Building a candidate persona is one of the best methods employers use to ensure their sourcing, recruiting, and hiring processes are focused. Knowing exactly what you're looking for streamlines everything and helps increase hiring confidence. So here's how to create a candidate persona and how to use it.