- UpvoteDownvoteShare Job
- Suggest Revision
Expertise in Python, R, SQL, statistics, data mining. SOSi is seeking data talent to unlock insights from massive datasets supporting strategic national security objectives. SOSi is seeking a highly skilled Data Scientists to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency in Python, R, SQL and experience with data visualization tools (Looker, Tableau) Data Visualization: Create informative and visually appealing reports, dashboards, and data visualizations to communicate insights to cross-functional teams, with tools such as Looker Studio and Tableau.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Participate in the creation and continuous enhancement of dashboards and data presentation methodology, employing innovative data visualization techniques for impactful findings using Power BI, Excel, Smartsheet, and other data reporting tools.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
In our TransUnion proprietary analytics platform build multi-touch attribution models (MTA) and marketing mix models (MMM) that are based on statistics, econometrics, and/or machine learning techniques such as logistic regression, choice model, time-series model, panel data model, Bayesian statistics, ridge regression, structural equations, probability theory, clustering algorithms, etc.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The firm is the No. 1 investment bank for all global M&A transactions, the No. 1 M&A advisor for the past nine consecutive years in the U.S., the No. 1 global restructuring advisor for the past ten consecutive years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by LSEG (formerly Refinitiv.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Actuarial Data Engineer (Remote Consideration) Undergraduate degree in Actuarial Science, Applied Mathematics, Statistics, Economics, Computer Science, Data Science or Data Analytics or other quantitative major.
Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis. Perform statistical analysis and data mining to create predictive systems.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a Data Security Specialist, you will implement GDIT's cutting-edge Insider Threat technologies and processes to enhance the protection of our nation's high-value assets and mission-critical data.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Model Integration & Scalability: Collaborate with cross-functional teams to integrate data science solutions into scalable, production-grade systems using open-source frameworks like Apache Spark and containerization technologies like Docker.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We are looking for a Senior Data Scientist to partner with our product, design, engineering and business leaders to drive adoption and retention for two of our emerging products. As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You could be a data scientist anywhere. A few years of structured problem solving experience (MBB, VC or PE experience preferred) followed by a few years as an operator (in data science, business operations, data analytics, product analytics or related.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Support data and automation needs of the Funding, Portfolio, ALM, Liquidity and Capital teams for reporting to ALCO, ERRC, Board, regulators, IR, Accounting, etc. Developing data analyses, data collection systems and other strategies that support effective internal reporting, such as: Liquidity Risk - Data needs around liquidity stress testing, key risk indicators, and various other analysis; Capital Management - stress testing, capital forecasting and sensitivity analysis; ALM - behavioral modeling, including deposit betas, deposit lives, balance sheet sensitivity.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Verify ERP fulfillment data against customer portals, ensure data integrity and achievement daily shipment attainment. Ensure accurate inventory and work-in-progress (WIP) valuation through product auditing, cycle counts, and data verification.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The Data Scientist is responsible for executing the full-scope of advanced analytic techniques with the objectives of creating quantitative and qualitative models, data mining, causal inferences, predictions, optimizations, and recommendations for Treasury team.
ExpandApply NowActive JobUpdated Today
Title: data modeler Company: Oxyprime
FEATURED BLOG POSTS
How to Make a Job Offer More Competitive
Money alone makes it hard to attract and retain top-notch candidates, especially when you are competing with larger businesses and corporations in your industry. So, instead of focusing on money, figure out how to make a job offer more competitive when you can't offer more money.
5 Ways to Stretch Your Hiring Budget
Many businesses across the country have adjusted business operations to make it through the pandemic. After a period of hardship, many business owners, like yourself, are ready to start recruiting and rebuilding a bigger, more skilled workforce - only now you have to do it with a smaller hiring budget.
How to Ask for a Raise at Work
Here we go again; it’s time to talk money. Whether you’re one year in at a new company or approaching year five on the same team, learning how to ask for a raise should be part of your long-term career plan. These conversations are rarely fun (thanks to society, which has conditioned us to believe that money is taboo), but they are necessary if you want to, well, get paid what you’re worth. Trust us, there’s a lot of money on the table for taking. Below, we’ll discuss tips on timing, approach, and follow-up.
Technology in the Workplace: How to Improve your HR Function with AI
It’s safe to say that the last two years have brought fundamental changes to the way we work and do business. Companies have relied on technology in the workplace to digitize their services and build a remote-friendly infrastructure that could prepare them for the future.
How to Maximize Action Verbs in Your Resume
Writing a resume that stands out takes more than using keywords and savvy formatting. It’s not just about having an impressive list of accomplishments. It’s also about how you position them using action verbs and deliberate word choice. So if you are looking for a way to craft a resume that stands out and gets calls back? Start by sprucing up your resume with captivating action verbs.
What is Your Desired Job Title?
You’ve decided to look for a new job. So now comes the question — what is your desired job title? There are lots of considerations to think through when deciding on the right title for your next role.
4 Things to Consider When Building a Global Workforce
The rise of remote work has given employers a unique chance to rethink how they approach workforce management. This ranges from rethinking the size and design of their office space to updating their tech stack to accommodate different working styles. It has created new opportunities for companies of all sizes to expand their hiring pool and look for top talent on a global scale.