Data Analytics Engineer

Actifai is seeking a Data Analytics Engineer. The Data Analytics Engineer will be a client-facing team member that manages critical client data through the full data lifecycle from ETL to analytics and reporting.

They will ingest client data into Actifai’s internal data store, build data pipelines for modeling and analytics, maintain recommendation models, and manage reporting and analytics tools.

As a key technical bridge between Actifai and its clients, the Data Analytics Engineer will work closely with Actifai’s MLOps, Data Science, and Customer Success teams.

The Company Actifai is a dynamic, 4-year-old AI software startup (AIaaS company) serving some of the largest broadband and telecommunications providers in North America.

We're at the forefront of AI technology in the telecom industry, transforming how companies optimize their high-value, high-leverage decisions across customer acquisition, retention, and development engagements.

Learn more on our site : www.actif.ai Actifai is part of Foundry.ai, a technology fund / studio that creates AI software companies in partnership with large global enterprises.

Foundry’s operating companies focus on practical applications of AI that drive immediate, measurable, and recurring improvements to financial performance.

Foundry is backed by leading private equity and venture capital partners, including The Pritzker Organization, Breyer Capital, and Madrone Capital Partners.

The Position The Data Analytics Engineer is based in Washington, D.C. and is a hybrid, client-facing role between the Data Science and Data Engineering teams at Actifai.

Depending on the needs of the business, the work may include : Maintaining and improving Actifai’s data infrastructure Implementing data pipelines to create the datasets that power our models and reporting tools Working with technical teams at Actifai’s clients to manage transfer of client data Integrating client data into Actifai’s databases Managing pilot programs with new clients Conducting data analysis Developing dashboards and analytics tools Maintaining machine learning models Basic Qualifications : Bachelor's Degree or higher in computer science / engineering, mathematics, statistics, data science or a related technical field 2+ years of relevant employment experience preferred Strong skills in writing and optimizing SQL queries and Python code, especially data manipulation libraries such as pandas Experience with AWS and / or Google Cloud Experience with data analysis and visualization Excellent communication skills, both for collaboration with clients and for working within internal teams Exceptional candidates may differentiate themselves with some of the following : Expertise in ETL / ELT optimization, designing, coding, and tuning big data processes Familiar with general-purpose machine learning principles and methods, such as regression, decision trees, neural networks, reinforcement learning, online inference and so on Experience with Infrastructure as Code (Terraform, Serverless) Detail-oriented and takes ownership of outputs Well-rounded top performer who is able to crunch the numbers one minute, and critically think through strategic issues and system design the next A do it the right way mindset including commitment to proper documentation and thorough testing Excited to move fast and know how to prioritize and make critical decisions.

A self-starter : you have started something on your own before an open-source project, a new project within a company or university, a start-up, or something else Able to communicate effectively when delivering complex data-driven findings to businesspeople and when discussing machine-learning specifications with engineers Finally, we highlight that excellence has no single mold, particularly in a field as rapidly evolving as AI.

We're looking for excellent candidates of all backgrounds with strong business intuition and coding skills, and welcome applicants regardless of ethnic / national origin, gender, race, religious beliefs, disability, sexual orientation or age.

Benefits and Culture Actifai offers an extremely competitive compensation package, including equity, 100% employer-covered health / vision / dental insurance for individuals and families (with an optional FSA / HSA), and a 401(k) plan with employer matching.

Employees receive 20 days of PTO (not including holidays) and can work both remotely and from our office in downtown Washington, D.

C. Successful candidates will join a small but growing team of ambitious, supportive co-workers with ample opportunities to take on responsibilities and develop skills beyond their assigned role.

For additional information on benefits and what it's like to work at Actifai, please visit www.actif.ai / careers . Powered by JazzHR