Senior Data Scientist, Fractal
$115-160k
AI-driven data analytics platform
Be an early applicant
AI-driven data analytics platform
1001+ employees
Be an early applicant
$115-160k
1001+ employees
Company mission
To reshape business through science and advanced data tools and uncomplicate decision-making, so human intelligence can be freed from the drudgery of monotonous work and committed to the pursuit of imagination and creative rewards.
Role
Who you are
- We are seeking a highly skilled and experienced data scientist to join our team
- Master's or Ph.D. degree in a quantitative field such as computer science, statistics, mathematics, or related disciplines
- Proven experience as a data scientist, with a track record of delivering successful data-driven solutions
- Strong proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn)
- In-depth knowledge of statistical techniques and machine learning algorithms (e.g., linear regression, decision trees, random forests, neural networks)
- Experience with data visualization tools (e.g., Tableau, matplotlib, ggplot)
- Proficiency in SQL and working with databases
- Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus
- Strong problem-solving skills and the ability to work on multiple projects simultaneously
- Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to both technical and non-technical audiences
- Strong attention to detail and a commitment to delivering high-quality results
- Ability to work independently and as part of a team in a fast-paced and dynamic environment
What the job involves
- As a data scientist, you will be responsible for analyzing complex datasets, developing predictive models, and extracting valuable insights to drive business strategies and decision-making
- You will work closely with cross-functional teams to understand business requirements, design and implement analytical solutions, and communicate findings to stakeholders
- Collect, clean, and preprocess large volumes of structured and unstructured data from various sources
- Perform exploratory data analysis to identify patterns, trends, and relationships in the data
- Develop and implement predictive models using statistical techniques and machine learning algorithms
- Conduct feature engineering, including feature selection, transformation, and creation
- Evaluate model performance and optimize models for accuracy, precision, recall, or other relevant metrics
- Collaborate with domain experts, software engineers, and business stakeholders to understand requirements and develop data-driven solutions
- Deploy models into production systems, ensuring scalability, reliability, and maintainability
- Communicate complex findings and insights to non-technical stakeholders through data visualizations, reports, and presentations
- Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to solve business challenges
- Mentor and provide guidance to junior members of the data science team
Application process
- End Date: April 30, 2025
Our take
The analysis of business data is essential in making operational changes based on forecasting, managing supply chains, and optimizing revenue, but the mass of available data can be overwhelming. This can sometimes be combatted with the power of AI-driven data analysis tools, but existing solutions are usually designed to solve specific problems within specialized industries.
Fractal develops AI-driven tools and platforms for businesses, including a conversational AI platform called Senseforth, a revenue growth AI tool called Samya, AI algorithms for medical imaging named Qure, and an all-in-one data analytics platform called Crux Intelligence. The company develops its solutions to be flexible and applicable within a wide range of industries including consumer packaged goods, healthcare, financial services, and media.
Whilst AI-driven business tools are commonplace, Fractal has taken the smart approach of developing a suite of flexible AI tools that can tackle problems in many industries, as opposed to focusing on a specific problem or industry. This strategy has positioned the company well for continued growth and impact, reflecting its broad applicability and potential in the market.
Steph
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2022
$360m
GROWTH EQUITY VC
Jan 2019
$200m
GROWTH EQUITY VC
Total funding: $685m
Company values
- Client first - Always do what's best for the client
- Learn and grow - Nurture and grow exceptional professionals
- Think big, act fast - Challenge the status quo and execute with speed
- Extend extreme trust and be accountable - Assume positive intent of others and hold each other accountable
Company HQ
World Trade Center, New York, NY
Articles
Leadership
Pranay Agrawal
(CEO)Experience as Associate for ANZ Grindlays Bank. Manager at ICICI bank from 1998 to 2000.
Srikanth Velamakanni
(Executive Vice Chairman)Experience as Assistant Manager of ICICI Bank. Co-founder and Trustee of Plaksha University since 2018.
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