Senior Data Scientist

Posted 13 Days Ago
Be an Early Applicant
Hiring Remotely in Almaty
Remote
Senior level
Information Technology
The Role
The Senior Data Scientist will analyze large datasets, develop machine learning models, and implement statistical techniques to support business decision-making. The role involves collaborating with cross-functional teams, creating data strategies, building data pipelines, and providing mentorship. Staying updated with advancements in data science is essential for proposing innovative solutions.
Summary Generated by Built In

Remofirst empowers employers to be free from geographical boundaries when accessing talent, allowing employees to pursue opportunities wherever they may exist. We are on a mission to be the FIRST to truly revolutionize the industry and be a generational company.


Our platform offers a full-range people management tool, employee benefits like health insurance, and financial benefits, and enables clients to hire anyone from anywhere with one click. Remofirst manages employees and contractors for Fortune 500 companies (e.g., Microsoft, Mastercard) and the best startups worldwide (e.g., TransferGo). 


We are a small but strong team of 100+ people (and growing) hyper-focused on delivering a world-class platform and unparalleled service with our industry-leading partnerships. To help accelerate our growth and pace of delivery, we are looking for talented Senior Data Scientist to help spearhead the overall look and feel of our features and services.


We are seeking a highly skilled and experienced Senior Data Scientist to join our team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to drive insights and solve complex business problems. You will collaborate with cross-functional teams to develop and implement data-driven solutions that enhance decision-making and optimize business performance.


What you'll be doing:

  • Data Analysis & Insights: Analyze large, complex datasets to identify trends, patterns, and opportunities for business improvement.
  • Machine Learning Models: Develop, implement, and optimize machine learning models to solve specific business challenges.
  • Statistical Modeling: Use advanced statistical techniques to validate hypotheses and support data-driven decision-making.
  • Data Strategy: Collaborate with stakeholders to understand business goals and define a data strategy that aligns with organizational objectives.
  • ETL & Data Preparation: Design and build efficient data pipelines for extracting, transforming, and loading (ETL) data from multiple sources.
  • Visualization: Create intuitive and impactful visualizations and dashboards to communicate findings to technical and non-technical audiences.
  • Research & Innovation: Stay up-to-date with the latest advancements in data science and machine learning to propose innovative solutions.
  • Mentorship: Provide technical guidance and mentorship to junior team members.
  • Collaboration: Work closely with engineers, product managers, and domain experts to ensure alignment between data science efforts and business priorities.

What you’ll need:

  • Experience: At least 5-7 years of professional experience in data science or a related role.
  • Technical Skills:
  • - Proficiency in programming languages such as Python or R.

    - Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

    - Strong SQL skills and experience with databases (e.g., MySQL, PostgreSQL, NoSQL).

    - Experience with big data technologies (e.g., Spark, Hadoop) is a plus.

    - Familiarity with data visualization tools (e.g., Tableau, Power BI, or matplotlib).

  • Mathematical Skills: In-depth knowledge of statistics, probability, and linear algebra.
  • Problem-Solving: Strong analytical and problem-solving skills with the ability to translate business problems into data science solutions.
  • Communication: Excellent verbal and written communication skills to explain technical concepts to diverse audiences.
  • Collaboration: Proven ability to work effectively in a cross-functional team environment.
  • Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud).
  • Knowledge of MLOps practices for deploying and maintaining machine learning models in production.
  • Prior experience leading data science projects or managing teams.

Why work at Remofirst?

  • Startup environment. Remofirst is an early-stage start-up. You have a voice and can influence and grow rapidly.
  • Build & Scale From Scratch. Experience hyper-growth scale and help us build a great team of professionals worldwide that can help us achieve this ambitious vision. 
  • Work for a Market Leader. Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers. 
  • Compensation and perks are great! Competitive compensation. 100% remote work. PTO regulated by local statutory.
  • Culture. We lead with respect, kindness, and the right to fail. We value hard yet smart work. Diversity and inclusion are part of our DNA. As we grow and evolve, we welcome your input to help us define our culture further. 

Top Skills

Python
R
The Company
HQ: San Francisco, California
79 Employees
On-site Workplace
Year Founded: 2021

What We Do

Employer of Record & compliance for your remote team.
All-in-one platform to hire anyone from anywhere with one click. Same-day onboarding. Available in 180+ countries

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