Applied Data Scientist / Machine Learning Engineer (Decision Intelligence)

Job Overview

WorkWave is seeking an Applied Data Scientist/Machine Learning Engineer with an emphasis on decision intelligence. This position is focused on developing, deploying, and enhancing machine learning (ML) products that improve decision-making processes for customers and their operations. This robust role requires a product-minded individual who is capable of taking ML solutions from conceptualization through to deployment and continuous improvement.

Key Responsibilities

The responsibilities encompass various aspects of engineering machine learning capabilities:

• End-to-End ML Ownership: Led the development of machine learning functionalities such as forecasting, recommendation, and optimization to power customer-facing SaaS products.
• Pipeline & Model Development: Design data pipelines for reliable model discovery, experimentation, validation, and monitoring.
• Product Integration: Collaborate with product managers and engineers to integrate ML directly into product workflows and decision-making tools.
• Evaluation & Experimentation: Define metrics and A/B test strategies to assess model quality, reliability, and customer outcomes.
• Ecosystem Ownership & Strategy: Work closely with data teams to ensure high-quality features support model accuracy and performance.
• Mentorship: Guide and mentor fellow data scientists and cross-functional team members in best practices of applied ML.

Required Skills

Ideal candidates possess the following qualifications and experience:

• Experience: At least 3-5 years of professional experience in applied data science or machine learning engineering with a strong background in deploying models to production, particularly in a SaaS context.
• Technical Ability: Proficient in Python and familiar with machine learning libraries like Scikit-Learn, XGBoost, PyTorch, and TensorFlow. A solid familiarity with SQL is essential.
• ML & Modeling Expertise: Understanding of various ML methods including supervised learning, recommendations, and optimization is crucial.
• MLOps Familiarity: Understanding of MLOps practices and modern data platforms (like Snowflake or BigQuery), alongside experience in cloud environments such as AWS, GCP, or Azure.
• Communication Skills: Excellent verbal and written communication skills to articulate technical concepts to stakeholders across various levels.

About WorkWave

WorkWave prioritizes a flexible and supportive working environment. It provides a professional atmosphere that promotes collaboration, creativity, and community. Team members enjoy the benefits of a remote-first global work community wherein employees can thrive regardless of their geographical location.

Work Culture

• Diversity & Inclusion: Emphasis on building strong partnerships based on trust and inclusivity within the workplace.
• Work-Life Balance: Options for remote work and in-office collaboration exist to encourage balance.

Employee Benefits

WorkWave has an extensive benefits program, with offerings that include:

• Health & Dental Insurance: Comprehensive health plans that cover employees' medical and dental needs.
• 401(k) Plan with Company Match: Ensuring employees are financially secure in their retirement through matched contributions.
• Flexible Time Off: Encouraging employees to manage their time with flexible vacation days and generous PTO plans.
• Tuition Reimbursement: Support for further education and professional development is provided.
• Employee Assistance Programs: Access to psychological, financial, and legal support services, available 24/7.
• Quarterly Awards: Recognizing outstanding contributions through peer nominations and community engagement initiatives.

Salary Information

While specific salary information is not detailed in the provided text, positions like this generally offer competitive salaries that reflect the level of expertise required. Considering the seniority and specialization in machine learning, it’s prudent for applicants to expect a salary within the higher range for data science roles in the industry.

Conclusion

The position of Applied Data Scientist/Machine Learning Engineer at WorkWave presents an exciting opportunity for professionals eager to impact real-world applications of machine learning. With a mix of technical and strategic responsibilities, this role is suited for those passionate about leveraging data for decision-making and enhancing SaaS solutions. Candidates looking to apply should demonstrate both their technical skills and their commitment to fostering a collaborative work environment dedicated to innovative product solutions.

This job offer was originally published on jobicy.com