Data Scientist

Here is a remarkable chance for you to join a thriving Healthcare IT company with established products, prestigious clients, substantial revenue, blue-chip institutional investors, and continuous growth.  At DrFirst, you will collaborate with brilliant minds, tackling unique healthcare challenges on an unprecedented scale.  Our culture is entrepreneurial, collaborative, and fast-paced—ideal for those who seek personal and professional growth while working alongside intelligent colleagues. If you're enthusiastic about pushing your limits, unlocking your potential, and thriving in a dynamic team, we're eager to connect with you!

We are seeking a skilled Data Scientist to join our team. The ideal candidate will be responsible for analyzing large datasets to uncover insights that drive strategic decisions. You will collaborate with cross-functional teams to develop predictive models and algorithms to address business challenges, identify actionable opportunities, and design innovative and intelligent data-driven solutions. Strong expertise in machine learning, data mining, and statistical analysis is essential. Proven experience in applying machine learning and AI techniques to real-world problems a must. A background in healthcare is preferred, as you will be working on projects that directly impact patient care and safety.

Who will love this job

• A Driver who works with purpose and passion; someone who is disciplined and motivated to perform on the job in a 100% remote work environment
• A Builder who enjoys building skills, products, processes, systems, and structures as well as optimizing existing ones
• A Communicator who communicate effectively while working 100% remotely, who can explain technical decisions and design to team members, stakeholders and non-technical colleagues.
• A Learner who has a growth mindset, stays up on their craft, and always has an eye out for what is coming next.

• Develop and Implement Machine Learning Models:
• Design, develop, and implement machine learning models and algorithms to solve specific problem.
• Our technologists, no matter what level, never go hands off. We think it’s important to be close to the technology and solutions, to have a line of sight into how our models integrate with the products.  Our data scientist team is involved in all aspects of the model building process, from conception to deployment
• Continuously evaluate and improve the performance of models.

• Data Analysis and Insight Generation:
• Work closely with the team to understand business problems and translate them into data-driven solutions.
• Analyze large datasets (structured and unstructured) to discover trends, patterns, and relationships.

• Maintain and Optimize Data Pipelines:
• Collaborate with project team to identify relevant data sources for specific projects.
• Assist in automating data collection processes from various sources.
• Collaborate with data analysts to perform data cleaning, pre-processing, and validation to ensure data quality and accuracy.
• Collaborate with data engineers to maintain and optimize data pipelines, ensuring data integrity and availability for analysis and model development.

• Communication and Collaboration:
• Participate in discussions with stakeholders to understand their needs and translate data insights into actionable recommendations.
• Effectively communicate complex technical concepts to non-technical audiences through data visualization techniques.
• Collaborate with engineers and product development teams to integrate data-driven solutions into existing systems.
• Document data collection, analysis, and modeling processes for knowledge sharing and reproducibility.

• Problem solving and Learning:
• The problems we are solving are unique and complex. This takes critical thinking, root cause analysis, and issue dissection with the team to produce the best solution. You will be at the forefront, translating business problems into technical approaches and designs that yield actionable recommendations to enhance and drive products/solutions.
• Proactively learn and stay updated on the latest data science tools, techniques, and best practices.
• Continuously improve programming and software development skills relevant to data science.

• Can use different query languages like SQL or NoSQL (Elasticsearch, DynamoDB, etc) to collect, clean, manipulate, and transform data
• Proficiency in Python, particularly libraries like pandas, NumPy, and scikit-learn. Familiarity with R may also be beneficial.
• Strong experience with machine learning frameworks and libraries such as TensorFlow, Keras, Scikit-Learn, PyTorch, and OpenCV.
• Strong foundation in statistical concepts like hypothesis testing, A/B testing, regression analysis, and probability distributions.
• Strong experience with different ML models (clustering, classification, regression, preprocessing);
• Understand how common deep learning ML models work (Deep Neural Network, Recurrent Neural Networks, Transformers), with different domains (text, images, tabular, time series).
• Hands-on experience throughout entire ML process: from data collection and transform, to model training and evaluation, to model deployment.
• Basic software engineering skills: with Python can build APIs serving ML models and  APIs that transform data, can interact with AWS, Kubernetes, Linux, bash
• Skills to create clear and informative visualizations to communicate insights to both technical and non-technical audiences. Expertise in data visualization tools such as Tableau, Power BI, or Matplotlib.
• Experience with cloud platforms like AWS, Azure, or GCP.
• Familiarity with SDLC, Agile, and issue tracking. Experience with version control systems like Git.
• A minimum of 3 years of professional experience in a data science role
• Nice to have: experience with big data technologies such as Hadoop, Spark, or similar.
• Nice to have: Familiarity with healthcare data standards, regulations, and best practices, is a plus.
• Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• 10% Travel
• 60% Desk work
• 30% Phone work 

#LI-GF1 #LI-Remote 

• Competitive compensation, with a base salary of $90,000 - $100,000 (Exact compensation may vary based on skills and experience)
• Eligible for Discretionary Performance-based bonus
• Medical, dental, and vision insurance
• 401K eligible after 3 months of employment, with 50% company match up to first 5% of salary contributed to the plan with a 3-year vesting schedule
• HSA for eligible employees enrolled in the HDHP, with a generous company contribution up to $500 for individual coverage and $1000 for family coverage per year
• 100% company paid short and long-term disability, AD&D, and group life insurance
• Accrued annual paid time off (PTO) of 18 days for the first 3 years of service, increasing thereafter and 7 paid holiday days
• Employee Assistance Program
• Continuing Education funds up to $1500 annually for eligible programs after 1 year of service
• Voluntary benefits including FSA, Hospital indemnity, Accident and Critical Illness insurances

DrFirst is committed to being a Remote-First company, creating a dynamic and flexible workplace where everyone can thrive, no matter where they log in from. Check out our approach to remote work https://drfirst.com/company/about-us/careers/.

Our recruitment process at DrFirst is straightforward and secure. You will only be contacted by our recruitment team through an official @drfirst.com email address. We will never ask you for payment or sensitive personal information, such as your social security number or banking details, at any stage of the hiring process. Additionally, we will not request that you purchase equipment or accept e-checks or checks for deposit. If you encounter any communications claiming to be from DrFirst that seem suspicious, please contact our recruitment team directly at recruiter@drfirst.com to verify the message's authenticity. Your security is important to us! 

Learn more about our benefits and professional development opportunities https://drfirst.com/company/about-us/careers/the-perks/.