Lead Data Scientist, Dynatrace
More information about location
Digital and application performance monitoring
Be an early applicant
Digital and application performance monitoring
1001+ employees
Be an early applicant
More information about location
1001+ employees
Company mission
To deliver answers and intelligent automation from data.
Role
Who you are
- This position requires someone comfortable with independently managing challenging projects and guiding others through technical decision-making
- A degree in Engineering, Computer Science, Mathematics, or another quantitative field
- 10+ years of demonstrable/ tenured experience in data/ data science, including at least 3 years in a lead or senior IC role
- Expertise in causal analysis methods (e.g., propensity score matching, A/B testing, uplift modeling) with a demonstrated ability to analyse tabular data
- Strong experience in Python (including Pandas, NumPy, and Scikit-Learn) for data processing and machine learning model construction
- Proficiency in SQL, with the ability to write complex queries and optimise data retrieval from relational databases
- Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
Desirable
- Experience with large language models (LLMs) and autonomous agents, with an understanding of their practical applications and limitations
- Familiarity with big data technologies such as Spark or Snowpark for processing and analysing large datasets efficiently
- Hands-on experience working with Snowflake, particularly using Snowpark for scalable data engineering and machine learning workflows
- Experience with AWS services (e.g., S3, Lambda, EC2) for managing machine learning infrastructure and deploying models in a cloud-native environment
- Hands-on experience with data visualisation tools like Plotly, Seaborn, or other Python-based libraries to convey data insights effectively
- Familiarity with data pipeline orchestration tools (e.g., Airflow, Luigi) to manage ETL/ELT workflows
- Ability to operate in a fast-paced, dynamic environment, effectively prioritising multiple projects with competing deadlines
What the job involves
- Our Business Insights team is seeking a Lead Data Scientist to drive impactful data-driven decision-making across our products and operations
- In this role, you’ll leverage your advanced expertise to design and develop machine learning solutions, uncover the causal relationships in complex systems, and help our customers better understand how their clients interact with their applications
- Explore and analyse millions of rows of tabular data to uncover meaningful insights and build advanced machine-learning models
- Design and implement causal analysis models to assess the impact of system performance on user experience, providing clear, actionable insights into customer behaviour
- Develop and deploy machine learning models and workflows, transforming terabytes of traffic data into actionable insights that drive key business decisions
- Lead the development and deployment of models, ensuring robustness, scalability, and reliability in production environments
- Build automated solutions for business needs, such as bot detection using advanced machine learning and statistical methods
- Collaborate closely with product owners, engineers, and other stakeholders to translate analytical findings into impactful features and product improvements
- Take ownership of technical direction, contribute to architectural decisions, identify technical debt, and advocate for opportunities for improvement
- Mentor and support junior data scientists, enhancing team productivity, improving code quality, and fostering a culture of collaboration and learning
- Continuously monitor and enhance model performance in partnership with the engineering team, improving model impact on user experience and system effectiveness
Our take
Dynatrace is a software intelligence platform that is providing monitoring and analytic solutions as well as automation capabilities that allow clients to automatically scale their applications. Designed to help organizations better understand and optimize their cloud operations, it allows them to deliver software at a faster and more secure rate.
Recognized as a leading provider of software intelligence solutions, the Dynatrace platform is utilized by some of the world's leading brands, including 72 of the Fortune 100, to optimize their customer experiences and provide an overall more innovative IT operation.
The company has received numerous awards in recognition for its position within the technology industry. In 2022, Dynatrace won 3 major awards - the best place to work, the best global culture, and the best company outlook, as well as being named a leader in the Gartner Magic Quadrant for APM and Observability for the second year in a row. Dynatrace has a strong reputation in its field for its innovation and customer satisfaction, bolstering its position as a leader and helping further its name within the industry.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Jan 2011
$4m
EARLY VC
Aug 2008
$12.9m
SERIES B
Total funding: $24.4m
Company benefits
- Full remote working options to hybrid ones combining home and in-office work
- Career development program supporting you in achieving your career goals
Company values
- Teamwork: We strive to be helpful, respectful, and candid with all of our teammates. We focus on finding solutions that support not only our individual work, but for the team around us.
- Innovation: A radically different product requires a radically different mindset. So, we constantly challenge the status quo and our own assumptions to find new horizons and disrupt the competition.
- Walk the talk: We deliver what we promise to our peers and to the market – creating solutions that simply work; that are easy, robust, and valuable.
- Customer-first: We try to understand the why before we try to find the way. We listen, collaborate, and attempt to resolve any issues that our clients may have, and strive to WOW them with our technical expertise and compassionate approach.
- Integrity: We respect and value differences. We’re kind and professional to all, but don’t hesitate to challenge opinions and ideas. Above all, we’re honest with ourselves, our team, and our customers.
Company HQ
North Waltham, Waltham, MA
Articles
Leadership
Bernd Greifeneder
(CTO & Co-Founder)Previously the CTO and Senior Vice President at ruxit. Also worked as a Chief Technology Officer/Chief Software Architect at Segue Software.
Sok-Kheng Taing
(Co-Founder)Previously worked as the Head of eBusiness at Büro Handel. Now is on the Advisory Board for Fachhochschule Oberösterreich and the Chairwoman of the Supervisory board for Neoom Group.
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