Senior Data Scientist
Description
We provide technology that financial institutions use to manage risk and drive growth. Our solutions automate key processes – from anti-money laundering to fraud detection to CECL readiness to digital lending – empowering our customers by addressing their Enterprise Risk Management needs.
Abrigo is seeking a talented and experienced Data Scientist with a deep understanding of data analytics, machine learning, and cloud technologies, specifically AWS. In this role, you will play a pivotal role in developing and executing data-driven strategies to address complex business challenges, drive growth, and improve decision-making processes.
If you are a highly motivated data scientist with a passion for AWS and a track record of delivering impactful data-driven solutions, we encourage you to apply. Join our team and contribute to shaping the future of Abrigo through advanced data analytics and innovative technologies. This position will be remote or office based in Raleigh, NC or Austin, TX.
What You’ll Do:
- Lead and oversee the design, development, and implementation of data science solutions using advanced statistical modeling, machine learning algorithms, and predictive analytics techniques.
- Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to identify business objectives, gather requirements, and translate them into actionable data science projects.
- Utilize your expertise in AWS to architect and build scalable data solutions, ensuring optimal data storage, integration, and accessibility.
- Conduct in-depth analysis of large and complex datasets to extract meaningful insights and uncover hidden patterns, trends, and correlations.
- Develop and deploy data pipelines and ETL processes to ensure smooth and efficient data ingestion, transformation, and integration.
- Stay up-to-date with the latest advancements in data science, machine learning, and AWS technologies, and recommend innovative approaches to enhance existing models and processes.
- Mentor and provide guidance to junior data scientists, fostering a collaborative and learning-oriented environment.
What You’ll Need:
- Bachelors or Masters in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience (7+ years) working as a Data Scientist, with a focus on developing and implementing data-driven solutions.
- Expertise in Snowflake, and AWS services, including but not limited to S3, EC2, EMR, Lambda, Glue, Athena, Redshift, and SageMaker.
- Proficiency in programming languages such as Python or R, and familiarity with libraries and frameworks for data manipulation, analysis, and machine learning (e.g., NumPy, Pandas, Scikit-learn, TensorFlow).
- Extensive experience with statistical modeling, machine learning algorithms, and predictive analytics techniques.
- Solid understanding of data architecture, data modeling, and data warehousing concepts.
- Strong problem-solving skills and the ability to communicate complex concepts to both technical and non-technical stakeholders.
- Excellent collaboration and leadership skills, with the ability to work effectively in a team-oriented environment.
- Experience in the financial industry is a plus.
What You’ll Get:
- Market competitive total rewards package
- To be part of the Heart & SOUL of a winning company with an inspiring mission
- The opportunity to Make Big Things Happen
- Competitive salary along with full health benefits with an HSA option
- Unlimited PTO and bank holidays
- 401(k) plan and company match
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, age, genetic trait, sexual orientation, national origin, disability status, or any other characteristic protected by law.
Abrigo is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected] with the subject line accommodation.