Senior Data Scientist, Fractal
Marketing
$82-182k
AI-driven data analytics platform
Job no longer available
AI-driven data analytics platform
1001+ employees
Job no longer available
$82-182k
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
- Fractal is seeking a seasoned Senior Data Scientist who has experience solving data science problems in the Marketing domain, particularly in building Multi-Touch Attribution models using Deep Learning and creating uplift models for measuring the effectiveness of marketing initiatives, in the B2B setting
- Minimum 5 years of experience in the Data Science space, with a minimum of 2 years’ experience in the marketing space, particularly with Multi Touch Attribution problems in the B2B context
- Minimum 2 years of experience managing complex data science projects, leading a team of data scientists and/or ML engineers
- Deep understanding of the marketing world ranging from KPIs to terminologies, as well as in solving data science problems in the marketing space
- Strong experience in developing and deploying Deep Learning models, particularly in sequence-based architectures reliant on LSTM and convolutions
- Strong Experience in creating customized deep learning architectures, as well as adding in new functionalities to existing classes and methods in tensorflow
- Strong Experience with model explainability approaches, including but not limited to SHAP and/or Lime for Tree-based and Deep Learning models
- Adept at computational complexity & algorithmic thinking, and optimizing on time and space complexities to build programs of scale
- Minimum 2 years of experience in using advanced statistical techniques for experiment design, as well as building uplift modelling solutions
- Experience in building model training and scoring pipelines in Amazon Sagemaker, including the experience of integrating the pipelines with other AWS functionalities such as S3, Cloudwatch, Lambda, EventBridge
- Advanced- level SQL experience, particularly within Snowflake: Writing efficient and concise SQL queries with minimal reliance on Python or other languages, for EDA and data manipulation tasks
- Strong demonstrated experience on bringing in gated and ungated touchpoints, and creating cohesive customer journeys from them for the Multi Touch Attribution problems
- Strong understanding of the various stages of sales lifecycle and how they are tracked in CRM software such as Salesforce sales cloud
- Attention to detail is a must
- Ability to handle multiple assignments simultaneously and meet deadlines for all of them
- Team player, but also able to work independently with minimal to zero supervision
- Excellent verbal and written communication skills, with strong Excel and Presentation skills
- Experience in Natural Language Processing would be good to have
- Experience with PySpark/Spark SQL is good to have
What the job involves
- This role will require you to collaborate with multiple stakeholders, internal and external
- In this role, you will be part of a client-facing team that develops data science solutions to solve complex business problems in the B2B Marketing space
- Identify business gaps and develop KPIs for evaluating direct and indirect impacts of marketing campaigns
- Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production
- Create high-quality, actionable Insights for both technical and business stakeholders
- Bring innovative thinking and best practices to all operational activities
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 combated 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 HQ
World Trade Center, New York, NY
Articles
Leadership
Pranay Agrawal
(Co-Founder, CEO & EVP of Global Client Development)Pranay co-founded Fractal in 2001, serving as EV of Global Client Development since then and CEO since 2016.
Srikanth Velamakanni
(Co-Founder, Group Chief Executive & Executive Vice Chairman)After co-founding Fractal, Srikanth served as the CEO until moving into the role of Group Chief Executive & Executive Vice Chairman. He is also a Vice Chairperson at nasscom, Non Executive Chairman at ideaForge and co-founder & Trustee at Plaksha University.
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