Job Description
Are you a highly skilled data scientist with a passion for leveraging machine learning and statistical analysis to drive business growth and innovation? Do you thrive in a dynamic, collaborative environment where you can make a meaningful impact on the lives of millions? Look no further than arenaflex, a leading healthcare company dedicated to delivering personalized, accessible, and affordable healthcare solutions. At arenaflex, we're on a mission to transform the healthcare landscape through cutting-edge technology and innovative approaches.
Our team of talented professionals is united by a shared purpose: to bring our heart to every moment of your health. We're committed to empowering our employees to take ownership of their work, drive change, and accelerate our potential to deliver exceptional results. About arenaflex arenaflex is a global leader in healthcare, with a rich history of innovation and a deep commitment to improving the lives of our customers. Our company is built on a foundation of heart, with a culture that values empathy, compassion, and collaboration.
We're proud to be a part of the healthcare community, and we're dedicated to making a positive impact on the world. Job Summary We're seeking an experienced full stack data scientist to of talented professionals. As a key member of our data science team, you'll collaborate with cross-functional teams to design, develop, and deploy machine learning and statistical models that drive business growth and innovation. You'll work on complex projects that require expertise in machine learning, data mining, statistics, and applied mathematics.
If you're passionate about leveraging data to drive business outcomes and have a strong background in machine learning and statistical analysis, we want to hear from you. Key Responsibilities * Collaborate with cross-functional teams to design, develop, and deploy machine learning and statistical models that drive business growth and innovation * Develop and implement machine learning models using Python, R, SQL, and other programming languages * Work with large datasets to identify trends, patterns, and insights that inform business decisions * Develop and maintain data pipelines to extract, transform, and load data from various sources * Collaborate with data engineers to design and implement data architectures that support machine learning and statistical analysis * Develop and deploy statistical models to predict and analyze data on hardware and software systems * Work with data visualization tools to communicate insights and findings to stakeholders * Collaborate with data scientists to develop and implement data-driven solutions that drive business growth and innovation Requirements * 3+ years of experience in machine learning, data mining, statistics, applied mathematics, or a related field * 3+ years of experience in machine learning with expertise in the following areas: + Data-driven statistical modeling + Discriminative methods + Feature extraction and analysis + Supervised learning * Fluency in a programming language such as Python, R, SQL, etc.
* Experience with data extraction, wrangling, visualization, and analysis * Experience working with large datasets and data platforms (e.g. GCP, AWS, etc.) Preferred Qualifications * Experience processing data from multiple sources and through large data platforms * Experience developing scalable machine learning models and solutions * Experience learning and implementing statistical models, machine learning algorithms, or other custom-designed solutions that drive business outcomes * Experience improving existing data pipelines by exploring unstructured data sources and engineering new features * Ability to provide technical guidance and knowledge to the wider team Pay Range
The normal pay range for this role is $92,700.00 - $185,400.00.
This pay range represents the base hourly rate or base annual full-time earnings for all positions within the job grade within which this role falls. The actual base earnings provided will depend on a variety of factors, including experience, education, geography, and other applicable factors. This role is eligible for a arenaflex bonus, fee, or short-term incentive program in addition to the base pay range listed above. Benefits * Medical and prescription coverage (if you work 30+ hours per week), free preventive care, and annual arenaflex contributions in HSA-eligible plan options * Dental Insurance * Vision Insurance * Supplemental health plans: accident, critical illness, hospital indemnity * Fixed indemnity plan (if you work 12-29 hours per week): cash benefits for doctor visits, prescriptions, and more * bolthires Pharmacy prescription discounts * Thrive wellness platform to reduce stress, sharpen your focus, and enhance your overall wellness * Paid time off * Support for you and your loved ones * Tuition assistance and reimbursement * Career and cross-training opportunities * Colleague Education Program and Partnerships * 401(k) savings plan with $-for-$ company match up to 5%, after 12 months of service with a minimum of 1,000 hours * Employee Stock Purchase Plan with 10% discount
Why Join arenaflex?
At arenaflex, we're committed to creating a workplace that's inclusive, supportive, and empowering. We believe that our employees are the key to our success, and we're dedicated to providing them with the resources, training, and opportunities they need to thrive. If you're passionate about making a difference in the lives of others and have a strong background in machine learning and statistical analysis, we want to hear from you. If you're a highly skilled data scientist with a passion for leveraging machine learning and statistical analysis to drive business growth and innovation, we want to hear from you.
Please apply including your resume and a cover letter, to. We can't wait to hear from you!