*This position can be remote within the US*

Who we are...

In a world of constant change, we’re leading the charge towards truly autonomous enterprises. Our cutting-edge platform harnesses the power of automation and generative AI to revolutionize how businesses manage and optimize their IT operations.

We’re not just adapting to digital transformation—we’re accelerating it. Our solutions bring business and operations leaders together, unlocking new levels of innovation, efficiency, and scalability. We empower organizations to deliver superior customer experiences and drive revenue growth in an always-on, always-mobile world.

At ScienceLogic, we’re building the foundation for Autonomic IT—a future where IT

What we’re looking for...

ScienceLogic is seeking an experienced Data Scientist to join our team, where you will leverage data to uncover insights, build predictive models, and support data-driven decision-making. This role involves working closely with cross-functional teams to understand business needs, apply statistical analysis, and deploy machine learning solutions. If you are passionate about turning data into actionable insights and enjoy working in a collaborative environment, this role is for you.

What you’ll be doing…

• 1. Data Analysis & Modeling:
  • Analyze complex datasets to extract actionable insights that inform business strategies and operational improvements.
  • Build, validate, and deploy predictive models and machine learning algorithms tailored to solve business problems.
  • Use statistical techniques and data visualization to communicate findings and recommendations to stakeholders.
  1. Feature Engineering & Data Preparation:
  • Identify relevant data sources and work with data engineering teams to gather and preprocess data for analysis.
  • Perform feature engineering, data transformation, and data cleaning to prepare datasets for modeling.
  • Work with structured and unstructured data from various sources.
  1. Model Deployment & Monitoring:
  • Collaborate with software engineers and DevOps to deploy models into production environments.
  • Monitor the performance of models over time, recalibrating and optimizing them as necessary.
  • Design and implement A/B testing frameworks to evaluate model effectiveness and impact.
  1. Continuous Learning & Innovation:
  • Stay up-to-date with advancements in data science, machine learning, and AI technologies.
  • Experiment with new techniques and tools to improve existing workflows and introduce innovative solutions.

Qualities you possess…

• Minimum of 3 years of experience in data science, machine learning, or a related field.
• Bachelors or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven track record in building and deploying machine learning models and data analytics solutions.
• Strong experience with statistical analysis and predictive modeling.
• Proficiency in Python and/or R for data analysis and modeling.
• Experience with machine learning libraries such as scikit-learn, Tensorflow or PyTorch.

As a plus, you have...

• Experience with cloud platforms (AWS, GCP, or Azure) for data science and machine learning.
• Familiarity with big data technologies like ClickHouse, Spark, Hadoop or Databricks.
• Knowledge of deep learning techniques and NLP (Natural Language Processing).
• Strong knowledge of SQL and experience with database querying.
• Familiarity with data visualization tools (e.g. Tableau, Power BI, or Matplotlib).

Benefits & Perks

• A remote-first culture - work from home or come into the office, it’s totally up to you.
• Comprehensive medical, dental and vision plans.
• 401(k) plan with employer match.
• Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize.
• Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization.
• 5-year Service Milestone Sabbatical.
• Paid parental leave.
• Generous employee referral bonus program.
• Pet insurance.
• HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays.
• Regular virtual company-wide events, including cooking classes, yoga, meditation and more.
• The opportunity to learn and develop from some of the best and brightest minds in the industry!

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.

Base Salary Range For This Role Is$175,000 - $195,000

About ScienceLogic

ScienceLogic empowers intelligent, automated IT operations, freeing up time and resources, and driving business outcomes with actionable insights. ScienceLogic’s AIOps platform sees broadly across clouds and on-premises, enabling business service visibility with relationship mapping, and workflow automation to eliminate manual tasks. Trusted by thousands of organizations across the globe, ScienceLogic’s technology has been proven for scale by the world’s largest service providers, enterprises and government agencies.

www.sciencelogic.com 

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All ScienceLogic employees have the responsibility to protect information assets, adhere to access controls, report suspicious activity, and comply with security and privacy policies.