Senior Data Scientist

Solstice Analytics is hiring Sr. Data Scientist job (Remote only) | Cutshort

Sr. Data Scientist
Sr. Data Scientist

at Solstice Analytics

Posted by
Oiendrila Lodh
4
\- 7 yrs
₹20L - ₹40L / yr
Remote only
Skills
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Speech recognition
Deep Learning
NumPy
SciPy
Who we are?
Solstice Analytics is building the future of sales engagement, a solution that helps sales teams personalize at scale while consistently staying on message and on task, through true multi-channel outreach including email, phone, SMS, chat and social media. Solstice Analytics is the only tool your sales team will ever need to crush their goals. Funded by Sequoia - Headquartered in the US. Sequoia not only led a $2 million seed round in Solstice Analytics early this year, but also followed with $7.3 million Series - A recently. The team is spread remotely all over the globe.
Perks of being an Solstice Analyticser :
• Fully remote job - You can be on the mountains or at the beach, and still work with us. Solstice Analytics is a 100% remote company.
• Flexible work hours - We believe mental health is way more important than a 9-5 job.
• Health Insurance - We are a family, and we take care of each other - we provide medical insurance coverage to all employees and their family members. We also provide an additional benefit of doctor consultation along with the insurance plan.
• Annual company retreat - we work hard, and we party harder.
• Best tools - we buy you the best tools of the trade
• Celebrations - No, we never forget your birthday or anniversary (be it work or wedding) and we never leave an opportunity to celebrate milestones and wins.
• Safe space to innovate and experiment
• Steady career growth and job security
About the Role:
We are looking for a Senior Data Scientist to help research, develop and advance the charter of AI at Solstice Analytics and push the threshold of conversational intelligence.
Job description :
• Lead AI initiatives that dissects data for creating new feature prototypes and minimum viable products
• Conduct product research in natural language processing, conversation intelligence, and virtual assistant technologies
• Use independent judgment to enhance product by using existing data and building AI/ML models
• Collaborate with teams, provide technical guidance to colleagues and come up with new ideas for rapid prototyping. Convert prototypes into scalable and efficient products.
• Work closely with multiple teams on projects using textual and voice data to build conversational intelligence
• Prototype and demonstrate AI augmented capabilities in the product for customers
• Conduct experiments to assess the precision and recall of language processing modules and study the effect of such experiments on different application areas of sales
• Assist business development teams in the expansion and enhancement of a feature pipeline to support short and long-range growth plans
• Identify new business opportunities and prioritize pursuits of AI for different areas of conversational intelligence
• Build reusable and scalable solutions for use across a varied customer base
• Participate in long range strategic planning activities designed to meet the company’s objectives and revenue goals
Required Skills :
• Bachelors or Masters in a quantitative field such as Computer Science, Statistics, Mathematics, Operations Research or related field with focus on applied Machine Learning, AI, NLP and data-driven statistical analysis & modelling.
• 4+ years of experience applying AI/ML/NLP/Deep Learning/ data-driven statistical analysis & modelling solutions to multiple domains. Experience in the Sales and Marketing domain is a plus.
• Experience in building Natural Language Processing (NLP), Conversational Intelligence, and Virtual Assistants based features.
• Excellent grasp on programming languages like Python. Experience in GoLang would be a plus.
• Proficient in analysis using python packages like Pandas, Plotly, Numpy, Scipy, etc.
• Strong and proven programming skills in machine learning and deep learning with experience in frameworks such as TensorFlow/Keras, Pytorch, Transformers, Spark etc
• Excellent communication skills to explain complex solutions to stakeholders across multiple disciplines.
• Experience in SQL, RDBMS, Data Management and Cloud Computing (AWS and/or Azure) is a plus.
• Extensive experience of training and deploying different Machine Learning models
• Experience in monitoring deployed models to proactively capture data drifts, low performing models, etc.
• Exposure to Deep Learning, Neural Networks or related fields
• Passion for solving AI/ML problems for both textual and voice data.
• Fast learner, with great written and verbal communication skills, and be able to work independently as
well as in a team environment
Read more
Users love Cutshort
Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma
Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
Companies hiring on Cutshort

Founded
:
2018
Type
:
Products & Services
Size
:
20-100
Stage
:
Raised funding
About
Solstice Analytics is an all-in-one multi-channel sales engagement platform that helps sales teams close more deals and significantly increase their revenue.
Read more
Company social profiles

Similar jobs

Posted by
Akshay Patil
Remote only
5
\- 8 yrs
₹8L - ₹15L / yr
Microsoft Windows Azure
Azure Databricks
Terraform
Biceps
Azure DevOps
+13 more
**_Job Title :_** _Senior Azure Data / MLOps / AI Platform Engineer_
**_Experience :_** _6+ Years_
**_Employment Type :_** _Contract_
**_Role Level :_** _Senior_
**_Project :_** _Leading South Africa Telecommunications Operator_
**_Department :_** _Data & AI Engineering_
**_Job Overview :_**
_We are looking for a_ **_Senior Azure Data / MLOps / AI Platform Engineer_** _to design, build, and manage Azure-native cloud infrastructure, MLOps pipelines, and AI platforms supporting enterprise-scale data products and AI applications._
_The ideal candidate will have strong expertise in_ **_Azure Cloud, Azure Databricks, Infrastructure as Code, CI/CD, Kubernetes, and MLOps_**_, enabling scalable deployment of machine learning, GenAI, and AI Agent solutions._
**_Mandatory Skills :_**
_Microsoft Azure, Azure Databricks, Terraform/Bicep, Azure DevOps or GitHub Actions, Docker, Kubernetes (AKS), MLflow, Azure ML, Kubeflow, CI/CD, MLOps, Infrastructure as Code, Azure Monitor, Prometheus, Grafana, Vector Databases, AI Platform Engineering._
**_Key Responsibilities :_**
– _Design, deploy, and maintain_ **_Azure cloud infrastructure_**_, landing zones, networking, storage, and compute environments._
– _Build and manage_ **_Azure Databricks_** _environments for data engineering and AI workloads._
– _Develop Infrastructure as Code using_ **_Terraform or Bicep_**_._
– _Create and maintain CI/CD pipelines using_ **_Azure DevOps or GitHub Actions_**_._
– _Implement MLOps solutions including_ **_model deployment, MLflow, model registry, monitoring, drift detection, and automated retraining_**_._
– _Deploy and manage AI platform components such as_ **_vector databases, model-serving endpoints, and AI infrastructure_**_._
– _Manage containerized workloads using_ **_Docker, Kubernetes (AKS)_**_, and cloud-native deployment practices._
– _Monitor platform performance, observability, security, reliability, and infrastructure costs._
– _Collaborate with Data Engineering, AI/ML, GenAI, Cybersecurity, and Solution Architecture teams to deliver scalable enterprise AI platforms._
**_Required Skills :_**
– _6+ years of experience in_ **_Cloud, Platform, or MLOps Engineering._**
– _Strong hands-on experience with_ **_Microsoft Azure_** _services and_ **_Azure infrastructure._**
– _Expertise in_ **_Azure Databricks_**_,_ **_Terraform/Bicep_**_, and_ **_Infrastructure as Code._**
– _Experience with_ **_Azure DevOps_** _or_ **_GitHub Actions_** _for CI/CD._
– _Strong MLOps knowledge including_ **_MLflow, Azure ML, Kubeflow, Model Registry, Model Deployment, Monitoring, and Drift Detection_**_._
– _Experience with_ **_Docker, Kubernetes (AKS), and Container Orchestration_**_._
– _Familiarity with_ **_Vector Databases, GenAI infrastructure, LLM deployment, and AI platform engineering_**_._
– _Experience with monitoring tools such as_ **_Azure Monitor, Prometheus, and Grafana_**_._
**_Good to Have :_**
– _Experience with_ **_Azure OpenAI_**_, AI platforms, or enterprise GenAI deployments._
– _Telecom, Banking, or other large enterprise domain experience._
– _Microsoft Azure, Databricks, or MLOps certifications._
Read more

Posted by
Pradeep Subedi
Remote only
1
\- 3 yrs
₹4.8L - ₹6L / yr
B2B Marketing
Sales
Channel Sales
ABOUT KRISPCALL
KrispCall is an AI-powered business phone solution helping modern teams manage calls, SMS, and customer communication across geographies. We are expanding our channel ecosystem in India and looking for a Channel Sales Manager who can build and scale partner-led revenue through strong partner recruitment, enablement, and co-selling.
This role is for someone who understands how to create repeatable partner motion. Recruit the right partners, activate them fast, and drive a consistent pipeline.
KEY RESPONSIBILITIES
1) Channel Strategy and Revenue Ownership
\- Own channel-led pipeline and revenue targets for assigned reg