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3 weeks ago

Job Summary

xFusion’s Data Science team is central to our mission, developing advanced predictive models and delivering new data applications for our customers and partners. As a Data Scientist at xFusion, you will play a vital role in developing impactful data applications that address industry-wide challenges, extending beyond internal business issues.

  • Minimum Qualification : Bachelors
  • Experience Level : Mid level
  • Experience Length : 2 years

Job Description/Requirements

*Please apply only if you have a minimum of 3 years of experience as a Senior Data Scientist. This role at xFusion requires a deep expertise in Predictive Analytics and Machine Learning. We are seeking candidates with a proven track record of developing and implementing advanced data models that drive significant business impact. You should have substantial experience in designing and maintaining data processing workflows, building predictive models, and applying machine learning techniques to uncover actionable insights.*


What we do

xFusion is the analytics app store for businesses. We make it easy for enterprises big and small to unlock powerful insights effortlessly through our modern app development platform called Insight cloud. By eliminating the complexities of managing costly data technology stacks and breaking down analytics silos across industries, we make advanced predictive analytics and machine learning accessible to everyone.

Insight Cloud is an infinitely scalable cloud platform and App Store where businesses can subscribe to purpose-built, turnkey AI/ML apps built by industry experts. Our technology provides developers with a streamlined framework to build and get their analytics apps in front of millions of businesses.


What You'll Be Doing

xFusion’s Data Science team is central to our mission, developing advanced predictive models and delivering new data applications for our customers and partners. As a Data Scientist at xFusion, you will play a vital role in developing impactful data applications that address industry-wide challenges, extending beyond internal business issues. Your work will involve exploring business and third-party data, developing predictive models, and applying machine learning techniques to uncover trends, patterns, and insights that can generate significant improvements to industry-wide practices. You will collaborate closely with stakeholders to build and launch new data apps, ensuring that the insights generated are accessible and actionable through our Insights Cloud App Library.


Responsibilities

● Construct and maintain data processing workflows, ensuring efficient mapping and transformation of

client source data.

● Perform data enrichment by sourcing additional datasets and integrating them with client data to enhance analytical depth and accuracy.

● Develop complex SQL queries and Python scripts to transform and model data, tailoring configurations and fine-tuning parameters for optimal performance.

● Analyze large (and sparse) datasets to extract meaningful patterns, trends, and insights using advanced statistical methods and machine learning algorithms.

● Create and maintain interactive dashboards that provide intuitive visualizations of data insights, enabling users to derive clear, actionable information.

● Translate business challenges into analytical frameworks, proposing and implementing data-driven solutions that have a tangible impact on our clients’ decision-making processes.

● Engage with stakeholders to gather requirements, feedback, and validation to iterate and improve the data applications continuously.


Requirements

● Bachelor's degree in data science, statistics, computer science, or a related field.

● 3+ years of experience in data science, with a proven track record of developing and implementing machine learning models that have driven business impact.

● 2+ years of experience with applying data science principles in Retail or CPG sales/supply chain

● Expertise in Python programming language with one or more distributed execution frameworks

● Strong understanding of big data technologies and cloud-based data warehousing solutions, preferably Snowflake

● Strong understanding of machine learning algorithms, statistical modeling; experience with specialized frameworks (deep learning, optimization, Bayesian modeling, causal ML) is a plus

● Experience with data visualization tools and techniques to effectively communicate findings to both technical and non-technical audiences.

● Excellent problem-solving skills and the ability to work independently on complex data analysis tasks.

● Strong communication skills, with the ability to articulate complex technical concepts clearly and concisely.

● Experience with Alteryx would be a significant advantage.


What Sets Us Apart

● xFusion values a flexible work environment, supporting work-life balance and families.

● We encourage ownership of your projects and look for team members who can drive initiatives forward.

● We strive for a culture where small experiments, iterative progress, and data-driven decision making are the norm.

● You’ll join a diverse team where different perspectives are valued and where your growth mindset is nurtured.


How to Apply


If you believe you are a great fit for this position, please complete the application form linked below to initiate the recruitment process.


https://forms.clickup.com/8545393/f/84t3h-11955/4M1N0WJTD09VHI7UA7


We look forward to reviewing your application and learning more about what you can bring to our team!

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