Senior Data Scientist

At First Advantage, people are at the heart of everything we do. This mindset spans from our customers and partners to our greatest strength: our team members. Join us if you want to say “hello” to a rewarding career and pave the way as an industry leader in mission-critical background screening solutions to some of the most recognized Fortune 100 and Global 500 brands.
Who We Are?
We are on the frontline of the Great Onboarding, empowering organizations to Hire Smarter. Onboard Faster™. First Advantage (Nasdaq: FA) is an HR Tech company that delivers innovative solutions and insights to enable our clients to manage risk and hire the best talent. Leveraging an advanced global technology platform, First Advantage builds fully scalable, configurable screening programs that meet the unique needs of over 33,000 clients across the world. Headquartered in Atlanta, GA and with a globally distributed workforce spanning 28 locations with 5,500+ employees, First Advantage performs over 93 million screens in over 200 countries and territories annually.
Who You Are?
We are looking for a team member who considers themselves:

• Self-motivated – you love to lead others but are also ready to “roll up your sleeves." You can spearhead a project and see it through from start to completion.
• A team player – you navigate cross-functional teams and work well with team members across groups toward a common goal. While you are an independent contributor, you appreciate the value in collaboration.
• An innovator – you see gaps in current processes or workflows as an opportunity to improve and try something new.
• A lifelong learner – you seek opportunities to learn and upskill, you understand the importance of thorough and secure screenings, and are interested in the Human Capital sector and the confluence of people, process, and technology.

What You'll Do 
The candidate is expected to demonstrate a keen interest and proactive approach in translating business challenges into analytical problems, effectively determining, and implementing suitable AI/ML methods. Strong analytical acumen is essential for candidates, who should feel at ease processing and manipulating large datasets in diverse formats. Exposure to a range of analytics methods (descriptive, predictive, prescriptive), as well as exposure with NLP, Deep Learning, and tools like Python, SQL, and Excel, is desired. Additionally, experience with Cloud technologies (Azure/AWS/Google), including the execution of Machine Learning algorithms on the Cloud with a focus on CI/CD practices, would be a definite advantage. The role also involves providing technical and support for both ongoing and new projects.
Responsibilities:

• Collaboration and Communication: Work closely with product owners, product engineers, and stakeholders to effectively communicate findings, insights, and recommendations, fostering a collaborative and knowledge-sharing environment
• Problem Solving: Apply data analysis and data science methodologies to address complex business problems, collaborating with cross-functional teams to understand and translate business needs into analytical solutions.
• Data Exploration, Cleaning, Analysis and Modelling: Explore and clean diverse datasets, identifying patterns, trends, and outliers to ensure data quality and reliability in subsequent analyses. Devote a significant portion of time to conducting advanced statistical analyses, implementing machine learning algorithms, and developing predictive models to derive actionable insights from large datasets.
• Algorithm Development and Model Deployment: Design and implement algorithms in production environment, create ML pipelines using CI/CD process, develop API, write unit test cases, take signoff approvals and so on
• Software Engineering Standards and Documentation: Maintain engineering code standards, prepare documentation
• Innovation, Research and Continuous Learning: Allocate time for exploring innovative approaches, researching new technologies, and contributing to the advancement of data science within the organization.

What You May Need to be Successful

• Bachelor's degree in Statistics, Mathematics, Computer Science, or related field or equivalent or higher.
• Minimum of 4+ years of strong experience in Problem Solving, Data Exploration, Data Analysis, Algorithm Development and Model Deployment
• Proven experience in developing and deploying machine learning models. 4+ years of experience applying machine learning algorithms to solve business problems.
• Strong understanding of statistical methods and experimental design. 4+ years of experience applying statistical techniques to real-world problems.
• Proficiency in programming languages commonly used in data science, such as Python. Knowledge of relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NLTK).
• Proficiency with SQL databases for data retrieval.
• Experience working with Cloud DB’s. Azure will be a plus.
• 2+ years of experience working with cloud platforms. Exposure to Cloud technologies (Azure/AWS/Google). Exposure to Azure will be a plus.
• Experience in executing machine learning algorithms on the Cloud/On-Prem using CI/CD process.
• Contribute to innovation by exploring new data science techniques, methodologies, and tools that can enhance the organization's analytical capabilities.
• 3+ years of experience working in collaborative team environments. Ability to work collaboratively within the team and other IT products team members.
• Candidate must have strong communication skills and creative skills.

Why First Advantage is Your Next Big Career Move
First Advantage is going through a technology transformation! We are looking for experts who are excited to work with advanced technologies and provide best-in-class user experiences, drive the development and deployment of scalable solutions, and smoothly guide our agile teams and clients through meaningful changes as we continue to expand our impact.
More About Our Values Code

• Honor Honesty, Consistency, Responsibility: Do the right thing
• Cultivate an environment of dignity: Show respect for the individual
• Take an Outside-In approach: Put the client first
• Think out-of-the-box: Innovate and create
• Stay Team-Oriented: Collaborate and appreciate each other

What Are You Waiting For? Apply Today!
You have learned a little about us today – we want to learn about you! If you think this position and our company are a great fit for your areas of interest and expertise, tell us about you by applying now!
------------------------
EMPLOYEE BENEFITS – India Region:

• Most of the roles are enabled with the ability to work remotely with occasional business travel. Hybrid working model
• Comprehensive employee Leave policy
• Career progressions through Internal job opportunities and Global Talent mobility programs
• Career Development: Mentoring Program, People Management Program, cross-functions training, soft skills training.
• Continuous learning and development opportunities. Upskilling and reskilling opportunities mobilized through e-learning platforms
• Training and Certification reimbursement programs
• Medical Insurance coverage for employees and parental insurance benefits available. Calendarized Employee Wellness programs
• Quarterly Rewards and Recognition program to recognize exemplary performance
• Other attractive allowances – Weekend working, Holiday pay, Relocation assistance, Maternity bonus, Creche allowance & other allowance.