Data Science: Team Lead Job at TradingView (Tbilisi)

Team Lead Data Science

We are seeking a technically skilled leader to join our dynamic Data Science dep...

Location

Germany

Salary:

Not provided

AUTO1 Group

Expiration Date

Until further notice

Requirements

Deep knowledge in statistical and quantitative analysis
Practical expertise in SQL and Python honed over several years
Experience with cloud platforms like AWS, Azure, or Google Cloud is a significant advantage
Proven leadership skills with a track record of delivering end-to-end Machine Learning products in collaborative environments
Excellent communication skills to interact with stakeholders and communicate technical concepts
Hands-on experience with a wide array of machine learning methods
Ability to discern the most suitable technique for various problems
Practical experience in causal inference is a plus
Strong motivational and managerial skills to guide, support, and inspire team

Job Responsibility

Collaborate closely with team and key stakeholders to convert business requirements into Machine Learning solutions
Foster a culture that values data-driven decision-making
Aid in the enhancement of our data platform
Offer ML and engineering expertise
Ensure team builds, deploys and maintains high standards models
Drive innovation and creativity within team
Encourage team to explore new data science techniques and approaches
Empower team by supporting members to grow and take ownership of data science projects
Cultivate and demonstrate an action-oriented approach
Encourage team to experiment, iterate, drive initiatives forward

What we offer

30 days of vacation per year
Educational budget to support continuous learning and development
Freedom to choose preferred operating system
Exciting team events like Hackathons
Discounts at Autohero platform for high-quality used cars

Fulltime

Lead Director, Data Science

Develop and implement analytics applications and models to transform data into m...

Location

United States , New York

Salary:

141170.00 - 280000.00 USD / Year

CVS Health

Expiration Date

Until further notice

Requirements

Master's degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Business Administration, or related field
2 years experience in marketing analytics, clinical trials, or health research
2 years experience in machine learning, statistical analysis, or predictive modeling
2 years experience with visualization tools including PowerBI or Tableau
2 years experience with traditional relational data warehouse technologies: Oracle, Teradata, or DB2
2 years experience designing data models and solutions for analytical and reporting use cases
2 years experience with NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP)
2 years experience with machine learning algorithms
2 years experience with feature engineering, model tuning, distributed model training, and supervised and unsupervised learning implementation
2 years experience with machine learning operations

Job Responsibility

Develop and implement analytics applications and models to transform data into meaningful information
Design and develop data solutions using industry leading tools, technologies and best practices
Profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or HealthCare business
Develop advanced algorithms and statistical predictive models to evaluate scenarios, predict outcomes, and provide usable information on health metrics
Utilize data mining, data modeling, natural language processing, and machine learning to extract and manipulate data from multiple large data sources
Deliver predictive models that inform solutions for in-house teams and customer engagement
Visualize and interpret data and create reports
Manipulate data using statistical software
Compare models using statistical performance metrics
Support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses

What we offer

Medical benefits
Dental benefits
Vision benefits
401(k) retirement savings plan
Employee Stock Purchase Plan
Term life insurance plan
Short-term disability benefits
Long-term disability benefits
Well-being programs
Education assistance

Fulltime

Data Science Lead

We are looking for experienced and inspiring data science leaders who are excite...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

strong foundations in statistics, machine learning, and mathematics (a Master’s or PhD is a plus)
confident in exploring data, designing models, and evaluating their performance with rigor
skilled in SQL and Python-based tools (Pandas, NumPy, Scikit-learn, etc.)
experience leading data science projects
enjoy helping others grow, sharing feedback, and fostering a supportive, collaborative work environment
curious, resourceful, and proactive when faced with complex challenges

Job Responsibility

take full ownership of strategic data science projects, from exploration to deployment
guide, mentor, and support a small team of Data Scientists, helping them grow technically and professionally
design and build models for personalization, forecasting, user behavior analysis, and marketing efficiency
collaborate with Product, Engineering, Marketing, and other teams to turn data insights into real-world impact
help prioritize projects effectively based on value and feasibility, keeping a strong product and user focus
play an active role in hiring, onboarding, and nurturing an inclusive team culture
partner with senior leaders to inform strategic planning for the Data function at Fever

What we offer

bonus linked to performance
stock options
40% discount on all Fever events and experiences
flexible hybrid model
health insurance and flexible compensation options via Cobee
English classes
Gympass membership
salary advance via Payflow

Fulltime

Data Science Lead

The Data Science Lead is a strategic professional who stays abreast of developme...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

MBA or Advanced Degree Information Systems, Business Analysis / Computer Science
10+ years experience using tools for statistical modeling of large data sets
Proficient in data handling suites PYTHON, Spark, R, HIVE, SAS, SQL, or similar packages
Strong ability to extract strategic insights from large data sets
Experience in Design and implementation of machine learning models and algorithms to solve complex business problems with exposure to machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
Adept at using Statistical (like forecasting/modeling, data analysis, regression/optimization models), Machine Learning (GBM, Decision Trees etc.) & AI techniques (Deep Learning)
Strong aptitude, ability, motivation, and interest in placing quantitative analysis in the context of Finance/risk domain and/or business economics
Experience in working on Visualization tools like Tableau, POWER BI, etc.
Skilled core python developer with extensive development expertise in building the high scaled and performant software platforms for data computation and processing
Expert level knowledge of core python concepts and libraries such as pandas, NumPy and SciPy and well versed with OOPs concepts and design patterns

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to identify system functional specifications
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards

Fulltime

Manager of Data Science

The Manager of Data Science will lead a dynamic team of data scientists responsi...

Location

United States , Chicago

Salary:

84836.00 - 153548.75 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Master's Degree Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
7+ years Experience in data science or analytics roles
3+ years Experience leading technical teams and employees, either through direct People Management or through projects
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation)
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python, R, SQL, and Java)
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server
Knowledge and familiarity with Power BI, Tableau, or comparable reporting and visualization platforms
Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.

Job Responsibility

Manage, mentor, and develop a dynamic team of data scientists with diverse technical backgrounds
Develop and execute on projects and initiatives on the data science roadmap that align with business objectives
Collaborate with business leaders, key stakeholders, and cross-functional teams to identify high-impact opportunities for advanced analytics and translate business challenges into data science solutions
Lead and support various projects and initiatives, regularly managing competing priorities, deadlines, and expectations
Oversee the development of machine learning models, statistical analyses, and predictive algorithms
Drive innovation in modeling techniques, tools, and methodologies. Drive continuous improvement in team processes and methodologies
Ensure model quality, performance, and reliability through robust validation and testing frameworks
Establish best practices for model lifecycle management, including deployment, monitoring, and maintenance
Facilitate knowledge transfer and communicate complex technical concepts to non-technical audiences
Translate analytic findings into simple, actionable, and practical solutions and recommendations

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Manager, Data Science

The Manager, Data Science role at T-Mobile involves managing data science initia...

Location

United States , Overland Park

Salary:

133800.00 - 241400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor’s Degree required in Math, Statistics, Econometrics, Data Science, Analytics, Operations Research, Behavioral Science, or another analytical/quantitative field
Master’s Degree preferred in similar fields
4+ years of experience in implementing data science-driven solutions
2+ years of management experience or leading/coaching a data science team
4+ years of experience with data querying, wrangling, cleaning, and feature engineering
4+ years of experience with Python, Databricks, R, and other predictive modeling tools
4+ years of experience working with relational databases using SQL
4+ years of experience building and deploying data mining, visualization, statistical models, AI, and machine learning solutions
Mathematics: Calculus, linear algebra, statistics, and probability
Programming expertise in Python and SQL

Job Responsibility

Lead the development of major data science initiatives from problem framing to deployment and performance measurement
Hire, develop, manage, and retain a team of data scientists
Collaborate with cross-functional teams to solve business problems using data science techniques
Continuously improve data science operations to optimize efficiency and create scalable solutions.

What we offer

Medical, dental, and vision insurance
Flexible spending account
401(k) plan
Employee stock grants and employee stock purchase plan
Paid time off and paid holidays
Paid parental and family leave
Family building benefits
Back-up care and childcare subsidy
Tuition assistance and college coaching
Short- and long-term disability insurance

Fulltime

Manager, Data Science - Fiber Acquisition

The Manager, Data Science - Fiber Acquisition is a pivotal role that drives inno...

Location

United States , Bellevue; Denver; Overland Park; Frisco

Salary:

133800.00 - 241400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

4+ years of experience implementing data science-driven solutions and explaining complex machine learning and analytical concepts, presenting data insights and recommendations to diverse audiences and multiple levels of leadership
2 years of management experience or leading/mentoring a data science team
4+ years of experience with data querying, wrangling, cleaning, and feature engineering, working with common relational and non-relational databases in big data environments such as AWS, Azure, and Google Cloud
4+ years of experience using Python, R, and other predictive modeling and machine learning tools in big data environments
4+ years of experience working with relational databases using SQL
4+ years of experience building and deploying data mining, visualization, statistical models, AI, and machine learning solutions using various supervised/unsupervised ML algorithms
2+ years of experience in the telecom industry.

Job Responsibility

Collaborates with FP&A, Pricing, Analytics, and field partners to drive towards growth objectives across both marketing and promotions
Conducts region-level insights gathering to develop a playbook of initiatives to drive growth across each of the regions as an iterative and at a regular, recurring cadence
Lead the development of major data science initiatives from problem framing, data collection, model development, insights generation and presentation, deployment, and performance measurement
Hire, develop, manage, and retain a team of data scientists with diverse skills and experience levels
Collaborate with cross-functional teams to identify and solve business problems using data science techniques
Continuously improve data science operations to optimize efficiency, create scalable solutions, and build a world-class data science team
Perform other duties/projects as assigned by business management as needed.

What we offer

Medical, dental and vision insurance
Flexible spending account
401(k)
Employee stock grants
Employee stock purchase plan
Paid time off
Up to 12 paid holidays
Paid parental and family leave
Family building benefits
Back-up care

Fulltime

Director, Data Science

Imagine being the Director, Data Science at Clio, the legal software company tha...

Location

United States

Salary:

240700.00 - 360900.00 USD / Year

Clio

Expiration Date

Until further notice

Requirements

Graduate degree in Computer Science, Engineering, Statistics or a related field
10+ years extensive experience building and scaling a data science function in a high-growth environment
10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports
15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning
Experience reporting and presenting to senior business stakeholders
Experience leading go-to-market initiatives and partnering with product development teams
Experience with putting data science solutions in production and maintaining them
Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences
Growth mindset when it comes to process improvement and new technologies, especially AI

Job Responsibility

Define and implement Clio’s data science strategy that aligns with Clio’s business objectives, including revenue growth, customer retention, and operational efficiency
Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives
Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans
Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams
Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption
Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+)
Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies
Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance
Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices
Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting

What we offer

Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin and Sydney) to be in office minimum twice per week
Flexible time off policy, with an encouraged 20 days off per year
EAP benefits for you and household members, including counseling and online resources
401k matching and Child Education Savings
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

Fulltime

Data Science: Team Lead

TradingView

Location:
Georgia , Tbilisi

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 05, 2026

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