- UpvoteDownvoteShare Job
- Suggest Revision
Experience with data manipulation, especially using tools like R, Python, SQL. Hands-on experience with one or more of advanced analytics tools like SAS, R, Python.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
Full-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Design and develop statistical models and analyses using relevant software such as SAS, Stata, R, Python and SQL. Strong working knowledge with relational database tools and programming languages (R, Python, PySpark, SQL, Stata, SAS) and health-related analyses required.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Data Analytic Specialist will manage research projects related to healthcare economics, healthcare delivery science, health services research, biomedicine and clinical research. Other sources of data include Medicare and Medicaid claims, the IBM MarketScan Research Databases, PCORnet, CAPriCORN, National Death Index (NDI), NIH National COVID Cohort Collaborative (NC3) and Epic Systems, among others.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Must be enrolled full time at a 4-year accredited university/college in a Computer Science, Computer Engineering, Data Science/Analytics, Data Visualization, Marketing Analytics, Math, Stats, Software Engineering, Information Systems, Systems Engineering or related degree.
$40.7 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
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.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Program, build models, and perform regression analyses using languages such as Excel, Stata, R, Python, SQL, or SAS.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
- Suggest Revision
You Have: 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. 3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 3+ years of experience prepping structured and unstructured data for data science models.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
4+ years’ hands-on and proven experience with data science and statistical tools including Python, R, SAS, and SQL, SPARK, and Data Lake. Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 5+ years' experience in model development / model validation experience in financial services, banking, or retail; in lieu of a Master’s degree, 9+ years’ experience in model development / model validation experience in financial services, banking, or retail.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Python, R, SQL, or other business-relevant statistical programming language. Expertise in with at least two of the following: data architecture (ETL/data integration), automated data ingestion + reporting, data science and statistical programming, testing and personalization, data visualization, analytics tool implementation.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with other data visualization tools and programming languages (e.g., Power BI, Python, R) is a plus. Uses statistical packages and languages such as R and Python to analyze data and derive trends.
$77,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, Omni, Looker, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.) Using a variety of analysis and data-science techniques, you'll help stakeholders understand how Front's leads and customers engage with us, identify opportunities for optimization, and measure the success of marketing initiatives.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Nice to Have Knowledge of R, Python, Stata or other statistical languages. Experience in data visualization or data dashboard tools such as Tableau, Looker, Power BI, Google Data Studio, etc.
ExpandApply NowActive JobUpdated Yesterday
data science python r jobs Company: Accenture in Chicago, ME, Germany
FEATURED BLOG POSTS
How do Good Interviewers Prepare for Interviews?
Just like candidates take the time to research you and your company, you should take the time to prepare for the interview. Preparing for the interview doesn't just reflect well on your employer brand and create a better candidate experience. Preparation also helps prevent bad hiring decisions. Bad hiring decisions are usually a result of poor execution during the hiring process. However, going into an interview fully prepared and ready to evaluate candidates will help avoid bad hires. So, here are 6 interview preparation tips for employers.
How to Get a Union Job? A Step-by-Step Guide
A union job can significantly impact your job security, pay, and employment benefits. Whether this is your first job or you have years of experience, a union job can offer much-needed protection in a labor market where employees are hired and fired at will.
How to Write a Statement of Interest the Best Way
Your life's goal is to work for Company A. Their brand, their product, their reputation—it's safe to say you're a fan. The only problem is that their careers page never highlights the role that matches your skills and experience. It's a bummer for sure, but don't fret.
Should I Hire for Potential Over Experience?
The workforce is shifting every day. In fact, research from the World Economic Forum (WEF) shows over half of employees around the world will need to upskill or reskill by 2025. The rapid rise of digital literacy, automation, and new technologies will quickly supersede businesses that don't train ahead of the curve. With the dire need to invest in training, it's evident that hiring someone with experience isn't that much different than hiring someone without it.
How to Decide Between Two Job Offers: 10 Practical Tips
It’s arguably a good predicament to have. You’ve applied to many jobs, interviewed multiple times, and now find yourself with two legit job offers. Nice! But although this is a feel-good validation of everything you have to offer, a daunting choice lies ahead. How do you decide which job will be the best fit for you?
Why Work in Sales? 9 Reasons & Tips on Answering as an Interview Question!
Working in sales can be demanding and challenging, but it can also be gratifying. Sales is an excellent career with a clear path full of excitement and potential for growth. So, if you're contemplating careers and have wondered "why work in sales?", keep reading to determine if sales is a suitable role for you.
How to Fire an Employee
So… you've finally decided to let one of your employees go. Drafting the paperwork and corresponding with HR is the easy part, but knowing how to fire an employee is where things get complicated. In fact, it is one of the most challenging conversations to have in the workplace. However, it must be done, and it must be done with poise and tact. Not only should you keep your state law in mind, but you should also consider your former employee's wellbeing.